C-Serv

Contract

$80,000 - $160,000*

1 day ago

Worldwide

Senior

Python

SQL

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer specialized in data analysis to design benchmark tasks that simulate real-world analytical workflows. You will create scenarios where AI systems must analyze large, messy, multi-source datasets, decompose tasks across multiple agents, and produce clear, verifiable conclusions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Design and develop multi-agent benchmark tasks focused on complex data analysis workflows Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data) Build tasks requiring: Cross-referencing across multiple data sources Anomaly detection and contradiction identification Statistical analysis and interpretation Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis) Develop verification logic to validate precise analytical outputs (not generic summaries) Implement evaluation pipelines using Python and SQL Create reproducible environments using Docker Analyze task performance and refine for clarity, difficulty, and scoring accuracy 5+ years of experience in data analysis or analytics-heavy roles Strong proficiency in Python (pandas, NumPy) and SQL Experience working with real-world, messy datasets (CSV, JSON, logs, reports) Ability to design analytical problems with clear, verifiable answers Solid understanding of statistics (distributions, correlations, outliers) Familiarity with AI benchmarks or evaluation environments (e.g., SWE-bench or similar) Hands-on experience with Docker (Dockerfiles, image builds, debugging) Nice to Have Experience in financial analysis, operations analytics, or risk analysis Exposure to data pipelines or ETL workflows Experience with data quality validation or anomaly detection systems Familiarity with AI/ML data workflows or evaluation frameworks

Requirements

8 hours per day with an overlap of 4 hours with PST
Design and develop multi-agent benchmark tasks focused on complex data analysis workflows
Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data)
Build tasks requiring: Cross-referencing across multiple data sources
Anomaly detection and contradiction identification
Statistical analysis and interpretation
Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis)
Develop verification logic to validate precise analytical outputs (not generic summaries)

Skills

Python SQL Docker Pandas NumPy

AI Evaluation Engineer (Data Analysis & Multi-Agent Systems)

Contract

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

SQL

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer specialized in data analysis to design benchmark tasks that simulate real-world analytical workflows. You will create scenarios where AI systems must analyze large, messy, multi-source datasets, decompose tasks across multiple agents, and produce clear, verifiable conclusions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Design and develop multi-agent benchmark tasks focused on complex data analysis workflows Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data) Build tasks requiring: Cross-referencing across multiple data sources Anomaly detection and contradiction identification Statistical analysis and interpretation Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis) Develop verification logic to validate precise analytical outputs (not generic summaries) Implement evaluation pipelines using Python and SQL Create reproducible environments using Docker Analyze task performance and refine for clarity, difficulty, and scoring accuracy 5+ years of experience in data analysis or analytics-heavy roles Strong proficiency in Python (pandas, NumPy) and SQL Experience working with real-world, messy datasets (CSV, JSON, logs, reports) Ability to design analytical problems with clear, verifiable answers Solid understanding of statistics (distributions, correlations, outliers) Familiarity with AI benchmarks or evaluation environments (e.g., SWE-bench or similar) Hands-on experience with Docker (Dockerfiles, image builds, debugging) Nice to Have Experience in financial analysis, operations analytics, or risk analysis Exposure to data pipelines or ETL workflows Experience with data quality validation or anomaly detection systems Familiarity with AI/ML data workflows or evaluation frameworks

Requirements

8 hours per day with an overlap of 4 hours with PST
Design and develop multi-agent benchmark tasks focused on complex data analysis workflows
Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data)
Build tasks requiring: Cross-referencing across multiple data sources
Anomaly detection and contradiction identification
Statistical analysis and interpretation
Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis)
Develop verification logic to validate precise analytical outputs (not generic summaries)

Skills

Python SQL Docker Pandas NumPy

AI Evaluation Engineer (Data Analysis & Multi-Agent Systems)

Contract

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

SQL

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer specialized in data analysis to design benchmark tasks that simulate real-world analytical workflows. You will create scenarios where AI systems must analyze large, messy, multi-source datasets, decompose tasks across multiple agents, and produce clear, verifiable conclusions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Design and develop multi-agent benchmark tasks focused on complex data analysis workflows Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data) Build tasks requiring: Cross-referencing across multiple data sources Anomaly detection and contradiction identification Statistical analysis and interpretation Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis) Develop verification logic to validate precise analytical outputs (not generic summaries) Implement evaluation pipelines using Python and SQL Create reproducible environments using Docker Analyze task performance and refine for clarity, difficulty, and scoring accuracy 5+ years of experience in data analysis or analytics-heavy roles Strong proficiency in Python (pandas, NumPy) and SQL Experience working with real-world, messy datasets (CSV, JSON, logs, reports) Ability to design analytical problems with clear, verifiable answers Solid understanding of statistics (distributions, correlations, outliers) Familiarity with AI benchmarks or evaluation environments (e.g., SWE-bench or similar) Hands-on experience with Docker (Dockerfiles, image builds, debugging) Nice to Have Experience in financial analysis, operations analytics, or risk analysis Exposure to data pipelines or ETL workflows Experience with data quality validation or anomaly detection systems Familiarity with AI/ML data workflows or evaluation frameworks

Requirements

8 hours per day with an overlap of 4 hours with PST
Design and develop multi-agent benchmark tasks focused on complex data analysis workflows
Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data)
Build tasks requiring: Cross-referencing across multiple data sources
Anomaly detection and contradiction identification
Statistical analysis and interpretation
Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis)
Develop verification logic to validate precise analytical outputs (not generic summaries)

Skills

Python SQL Docker Pandas NumPy

AI Evaluation Engineer (Data Analysis & Multi-Agent Systems)

Contract

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

SQL

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer specialized in data analysis to design benchmark tasks that simulate real-world analytical workflows. You will create scenarios where AI systems must analyze large, messy, multi-source datasets, decompose tasks across multiple agents, and produce clear, verifiable conclusions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Design and develop multi-agent benchmark tasks focused on complex data analysis workflows Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data) Build tasks requiring: Cross-referencing across multiple data sources Anomaly detection and contradiction identification Statistical analysis and interpretation Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis) Develop verification logic to validate precise analytical outputs (not generic summaries) Implement evaluation pipelines using Python and SQL Create reproducible environments using Docker Analyze task performance and refine for clarity, difficulty, and scoring accuracy 5+ years of experience in data analysis or analytics-heavy roles Strong proficiency in Python (pandas, NumPy) and SQL Experience working with real-world, messy datasets (CSV, JSON, logs, reports) Ability to design analytical problems with clear, verifiable answers Solid understanding of statistics (distributions, correlations, outliers) Familiarity with AI benchmarks or evaluation environments (e.g., SWE-bench or similar) Hands-on experience with Docker (Dockerfiles, image builds, debugging) Nice to Have Experience in financial analysis, operations analytics, or risk analysis Exposure to data pipelines or ETL workflows Experience with data quality validation or anomaly detection systems Familiarity with AI/ML data workflows or evaluation frameworks

Requirements

8 hours per day with an overlap of 4 hours with PST
Design and develop multi-agent benchmark tasks focused on complex data analysis workflows
Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data)
Build tasks requiring: Cross-referencing across multiple data sources
Anomaly detection and contradiction identification
Statistical analysis and interpretation
Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis)
Develop verification logic to validate precise analytical outputs (not generic summaries)

Skills

Python SQL Docker Pandas NumPy

AI Evaluation Engineer (Data Analysis & Multi-Agent Systems)

Contract

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

Pandas

NumPy

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer specialized in data analysis to design benchmark tasks that simulate real-world analytical workflows. You will create scenarios where AI systems must analyze large, messy, multi-source datasets, decompose tasks across multiple agents, and produce clear, verifiable conclusions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Design and develop multi-agent benchmark tasks focused on complex data analysis workflows Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data) Build tasks requiring: Cross-referencing across multiple data sources Anomaly detection and contradiction identification Statistical analysis and interpretation Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis) Develop verification logic to validate precise analytical outputs (not generic summaries) Implement evaluation pipelines using Python and SQL Create reproducible environments using Docker Analyze task performance and refine for clarity, difficulty, and scoring accuracy 5+ years of experience in data analysis or analytics-heavy roles Strong proficiency in Python (pandas, NumPy) and SQL Experience working with real-world, messy datasets (CSV, JSON, logs, reports) Ability to design analytical problems with clear, verifiable answers Solid understanding of statistics (distributions, correlations, outliers) Familiarity with AI benchmarks or evaluation environments (e.g., SWE-bench or similar) Hands-on experience with Docker (Dockerfiles, image builds, debugging) Nice to Have Experience in financial analysis, operations analytics, or risk analysis Exposure to data pipelines or ETL workflows Experience with data quality validation or anomaly detection systems Familiarity with AI/ML data workflows or evaluation frameworks

Requirements

8 hours per day with an overlap of 4 hours with PST
Design and develop multi-agent benchmark tasks focused on complex data analysis workflows
Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data)
Build tasks requiring: Cross-referencing across multiple data sources
Anomaly detection and contradiction identification
Statistical analysis and interpretation
Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis)
Develop verification logic to validate precise analytical outputs (not generic summaries)

Skills

Python Pandas NumPy SQL Docker

AI Evaluation Engineer (Data Analysis & Multi-Agent Systems)

Contract

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

SQL

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer specialized in data analysis to design benchmark tasks that simulate real-world analytical workflows. You will create scenarios where AI systems must analyze large, messy, multi-source datasets, decompose tasks across multiple agents, and produce clear, verifiable conclusions. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 4 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Design and develop multi-agent benchmark tasks focused on complex data analysis workflows Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data) Build tasks requiring: Cross-referencing across multiple data sources Anomaly detection and contradiction identification Statistical analysis and interpretation Define task decomposition strategies across specialized sub-agents (e.g., financial, technical, operational analysis) Develop verification logic to validate precise analytical outputs (not generic summaries) Implement evaluation pipelines using Python and SQL Create reproducible environments using Docker Analyze task performance and refine for clarity, difficulty, and scoring accuracy 5+ years of experience in data analysis or analytics-heavy roles Strong proficiency in Python (pandas, NumPy) and SQL Experience working with real-world, messy datasets (CSV, JSON, logs, reports) Ability to design analytical problems with clear, verifiable answers Solid understanding of statistics (distributions, correlations, outliers) Familiarity with AI benchmarks or evaluation environments (e.g., SWE-bench or similar) Hands-on experience with Docker (Dockerfiles, image builds, debugging) Nice to Have Experience in financial analysis, operations analytics, or risk analysis Exposure to data pipelines or ETL workflows Experience with data quality validation or anomaly detection systems Familiarity with AI/ML data workflows or evaluation frameworks

Requirements

8 hours per day with an overlap of 4 hours with PST
Design and develop multi-agent benchmark tasks focused on complex data analysis workflows
Create or curate realistic datasets (CSV, JSON, logs, reports, financial or operational data)
Build tasks requiring: Cross-referencing across multiple data sources
Anomaly detection and contradiction identification
Statistical analysis and interpretation

Skills

Python SQL Docker Pandas NumPy

Senior Application Security Tester & AI Red Team Subject Matter Expert

Full Time

$150,000 - $250,000*

2 days ago

Worldwide

Senior

OWASP ZAP

Nmap

Postman

+5 more

Job Description

The Senior Application Security Tester & AI Red Team Subject Matter Expert is a senior-level offensive security role for a tester who has mastered modern web and API security and is now defining how Evolve Security tests AI-enabled applications, large language models, and agentic systems. This role wears two hats: hands-on senior application penetration tester for our most complex client engagements, and the firm-wide subject matter expert who builds, scales, and represents Evolve Security’s AI red team practice. The senior tester executes assessments with full autonomy, owns the technical relationship with client security and engineering leadership, mentors mid-level engineers and OSOC analysts, and is the recognized internal authority on offensive AI/ML testing methodology, tooling, and threat modeling. Typical Experience: 5–8+ years of offensive security experience with a deep concentration in web application and API penetration testing, plus demonstrable hands-on work testing AI/ML systems — LLM-backed applications, RAG pipelines, fine-tuned models, multi-agent systems, or production ML inference. A track record of dozens of completed assessments, published research, conference talks, CVEs, or open-source contributions is expected. Domain Expertise: Mastery of web application and API security beyond the OWASP Top 10 — business logic abuse, complex authentication and authorization flows (OAuth 2.0 / OIDC, SAML, JWT, mTLS), SSRF chains, deserialization, request smuggling, prototype pollution, and modern SPA / GraphQL attack surface. Equally fluent in the OWASP Top 10 for LLM Applications and OWASP ML Top 10 — prompt injection (direct, indirect, multi-modal), jailbreaks and safety bypasses, insecure output handling, training data poisoning and extraction, model denial of service, supply chain vulnerabilities in model and plugin ecosystems, excessive agency in agentic systems, sensitive data leakage from system prompts and embeddings, and vector store / RAG poisoning. Technical Skills: Expert with the modern offensive toolchain — Burp Suite Pro (including custom extensions), OWASP ZAP, Nuclei, Postman, Nmap, Metasploit, BloodHound — and able to build bespoke tooling when the off-the-shelf option falls short. Comfortable with AI red-teaming tooling such as Garak, PyRIT, Promptfoo, Giskard, and adversarial ML libraries, and confident designing custom evaluation harnesses against client-specific LLM and agent stacks. Strong scripting and small-tool development in Python, with working knowledge of JavaScript / TypeScript, Bash, and PowerShell. Familiar with the components of modern AI applications: vector databases (Pinecone, Weaviate, pgvector), embedding models, retrieval pipelines, agent frameworks (LangChain, LlamaIndex, CrewAI), and tool-use protocols including MCP. Soft Skills: Excellent written and verbal communication — produces publication-quality reports with no editorial rework, leads CISO and engineering-leader briefings, and de-escalates contested findings with technical rigor. Mentors mid-level engineers and OSOC analysts through code review, paired testing, and methodology coaching. Comfortable representing Evolve Security externally — webinars, podcasts, conference CFPs, and client thought-leadership content. Certifications (Preferred, not required): OSWE, OSCP, OSEP, GWAPT, GXPN, Burp Suite Certified Practitioner; AI/ML-adjacent credentials and contributions such as AI Red Team certifications, published prompt injection research, MITRE ATLAS contributions, or SANS SEC545/SEC595. Expertise that aligns to our approach Lead end-to-end web application and API penetration tests as the senior technical owner, scoping the engagement, executing the assessment, and presenting findings to client security and engineering leadership. Apply structured testing techniques aligned to OWASP WSTG and OWASP API Security Top 10 to assess authentication, session management, access control (vertical and horizontal privilege escalation), input validation, error handling, and business logic flaws. Design and execute AI red team engagements against LLM-backed applications, RAG systems, and agentic workflows — covering prompt injection (direct, indirect, multi-modal), jailbreak resilience, system prompt and tool-use exfiltration, training data and embedding leakage, insecure output handling, and excessive agency in tool-using agents. Map AI findings to the OWASP Top 10 for LLM Applications, OWASP ML Top 10, MITRE ATLAS, and the NIST AI Risk Management Framework so client stakeholders can defend severity and remediation calls internally. Test the full AI application surface: model endpoints, prompt and response pipelines, retrieval augmentation, vector stores, fine-tuning pipelines, plugin / tool integrations (including MCP servers), guardrail and safety layers, and supporting cloud infrastructure. Demonstrate proficiency in manual exploit development for both classical web vulnerabilities (XSS, SQLi, SSRF, IDOR, CSRF, deserialization) and LLM-specific attacks (jailbreak chains, indirect prompt injection via RAG content, agent hijacking via crafted tool outputs). Validate authentication mechanisms — OAuth, OIDC, SAML, MFA implementations, and JWT — and how they extend into AI-specific surfaces such as agent identity, per-user tool scoping, and prompt-level authorization. Assess session management, secrets handling, and data-flow controls in AI applications, including how user data ends up in prompts, logs, vector stores, and model fine-tunes. Execute client-side testing using browser dev tools and proxy-based inspection, evaluating DOM-based vulnerabilities, insecure local storage, and AI-driven client behaviors (e.g., embedded copilots and in-page agents). Test REST and GraphQL APIs using a combination of dynamic, manual, and automated methods; extend the same rigor to model and agent APIs. Perform code-assisted (grey-box) and full source review when available, identifying logic flaws, insecure configurations, and dangerous patterns specific to AI integrations (untrusted-content-into-prompt, unbounded tool use, missing output sanitization). Build, maintain, and contribute to Evolve Security’s AI red team methodology, payload libraries, evaluation harnesses, and reporting templates — and serve as the firm-wide reviewer for AI-related findings. Mentor mid-level penetration testing engineers and OSOC analysts through paired testing, technical review, knowledge-sharing sessions, and contributions to internal training and the academy. Represent Evolve Security externally through conference talks, blog posts, webinars, and client thought-leadership content on application security and AI red teaming. Communicate findings clearly, with strong emphasis on business impact, reproducibility, and strategic remediation guidance that engineering teams can actually ship. Success in the first 6 months looks like: Published, version-controlled AI red team methodology covering LLM applications, RAG systems, and agentic workflows, adopted across Evolve Security engagements. A reusable AI red team toolkit (custom Garak/PyRIT probes, payload libraries, evaluation harnesses) ready for any tester to use on a client engagement. Senior technical ownership of at least one strategic, AI-focused client account. Mentorship cadence in place with mid-level engineers and OSOC analysts; demonstrable uplift in their AI-related findings and reporting quality. At least one piece of public thought leadership (talk, blog, or research) attributed to Evolve Security. Who is Evolve Security? Evolve Security is a cybersecurity services firm headquartered in Chicago, IL. We are dedicated to improving our client’s security posture by providing continuous penetration testing, training services, and talent solutions. In addition to our professional cybersecurity service offerings, Evolve Security offers a cybersecurity bootcamp, “Evolve Academy”, currently ranked the #1 cybersecurity bootcamp in the world. The Cybersecurity Bootcamp in Chicago provides immersive training, giving students the concrete and practical skills, needed on the job. Students gain real work experience through live security assessment work that they perform on not-for-profit companies. We are passionate about directly improving our customers’ security posture, and we proudly train others to help meet the need for qualified cybersecurity talent. Benefits Include Healthcare Benefits 401(k) Match Parental Leave Flexible Paid Time Off Annual vacation reimbursement

Requirements

5–8+ years of offensive security experience
Deep concentration in web application and API penetration testing
Demonstrable hands-on work testing AI/ML systems
Mastery of web application and API security beyond the OWASP Top 10
Fluency in the OWASP Top 10 for LLM Applications and OWASP ML Top 10

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

OWASP ZAP Nmap Postman Burp Suite Pro Nuclei Metasploit BloodHound Garak

AI Security Expert - 115

Full Time

Up to PHP 150k

4 days ago

Worldwide

Senior

PyTorch

TensorFlow

Gradient-based attacks

+4 more

Job Description

Position: AI SECURITY EXPERT Salary range: up to ₱150,000 Philippine Peso (with the final offer subject to the client’s discretion based on the candidate’s experience) Working Hours: AU/NZ business hours Work set-up: 100% Remote work Holidays: New Zealand Holidays COMPANY OVERVIEW Our company is a leading-edge workforce and asset management platform dedicated to resourcing seamlessly at scale. We empower industries with mobile workforces—such as construction, healthcare, and logistics—by streamlining complex scheduling, compliance, and safety workflows through intelligent automation. OVERVIEW ON THE ROLE The AI Security Expert bridges the gap between cybersecurity and machine learning to protect AI systems from emerging threats while ensuring models are secure, compliant, and resilient. You will proactively manage risks unique to AI environments—such as adversarial attacks and data poisoning—to build trustworthy, production-ready systems that are robust against an evolving cyber threat landscape. Core Responsibilities Your focus will be on the end-to-end security of our AI lifecycle, specifically targeting the following areas: Pipeline Security: Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering. Adversarial Defense: Proactively identifying and preventing adversarial attacks, including input manipulation, model inversion, and data poisoning. Intellectual Property & Privacy: Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property. Threat Modeling & Red Teaming: Conducting AI-specific threat modeling and internal "red team" exercises to discover vulnerabilities before they can be exploited. Governance & Compliance: Ensuring all AI initiatives align with global security standards (e.g., ISO/IEC 42001, NIST AI RMF), ethical guidelines, and emerging AI governance frameworks. Qualifications & Technical Skills Process thinking and systems design Problem solving and analytical skills Strong stakeholder communication Strategic thinking with practical implementation ability Ability to translate technical solutions for non-technical teams Outcomes / Success Measures Success in this role will be measured by: Reduction in manual processes Increased operational efficiency Successful deployment of AI-powered workflows Improved data-driven decision making Scalable automation infrastructure Required To excel in this role, you will need a unique blend of traditional cybersecurity expertise and deep learning proficiency. AI/ML Proficiency: Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow) and the underlying mathematics of model architectures. Adversarial AI Knowledge: Proven experience with adversarial machine learning techniques, such as Gradient-based attacks, Evasion attacks, and Model Extraction. Secure Software Development: Expertise in securing CI/CD pipelines and containerized environments (Docker, Kubernetes) specifically for ML workloads. Data Protection: Proficiency in privacy-preserving technologies such as Differential Privacy, Homomorphic Encryption, or Federated Learning. Cloud Security: Deep experience with security configurations in AWS, Azure, or GCP, specifically regarding managed AI services (e.g., SageMaker, Vertex AI). Education Education: A Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related field. Professional Background: 5+ years of experience in Cybersecurity, with at least 2 years specifically focused on AI/ML security or research. Certifications: Relevant certifications such as CISSP, CISM, or specialized AI certifications (e.g., Certified AI Security Professional) are highly regarded.

Requirements

Strong understanding of machine learning frameworks and the underlying mathematics of model architectures.
Proven experience with adversarial machine learning techniques.
Expertise in securing CI/CD pipelines and containerized environments.
Ability to translate technical solutions for non-technical teams.
Strong stakeholder communication and strategic thinking with practical implementation ability.
Problem solving and analytical skills with process thinking and systems design.
Ability to conduct AI-specific threat modeling and internal 'red team' exercises.

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

PyTorch TensorFlow Gradient-based attacks Evasion attacks Model Extraction CI/CD Pipelines Containerized Environments

AI Security Expert - 115

Full Time

Up to PHP 150k

4 days ago

Worldwide

Senior

PyTorch

TensorFlow

Containerized Environments

+4 more

Job Description

Position: AI SECURITY EXPERT Salary range: up to ₱150,000 Philippine Peso (with the final offer subject to the client’s discretion based on the candidate’s experience) Working Hours: AU/NZ business hours Work set-up: 100% Remote work Holidays: New Zealand Holidays COMPANY OVERVIEW Our company is a leading-edge workforce and asset management platform dedicated to resourcing seamlessly at scale. We empower industries with mobile workforces—such as construction, healthcare, and logistics—by streamlining complex scheduling, compliance, and safety workflows through intelligent automation. OVERVIEW ON THE ROLE The AI Security Expert bridges the gap between cybersecurity and machine learning to protect AI systems from emerging threats while ensuring models are secure, compliant, and resilient. You will proactively manage risks unique to AI environments—such as adversarial attacks and data poisoning—to build trustworthy, production-ready systems that are robust against an evolving cyber threat landscape. Core Responsibilities Your focus will be on the end-to-end security of our AI lifecycle, specifically targeting the following areas: Pipeline Security: Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering. Adversarial Defense: Proactively identifying and preventing adversarial attacks, including input manipulation, model inversion, and data poisoning. Intellectual Property & Privacy: Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property. Threat Modeling & Red Teaming: Conducting AI-specific threat modeling and internal "red team" exercises to discover vulnerabilities before they can be exploited. Governance & Compliance: Ensuring all AI initiatives align with global security standards (e.g., ISO/IEC 42001, NIST AI RMF), ethical guidelines, and emerging AI governance frameworks. Qualifications & Technical Skills Process thinking and systems design Problem solving and analytical skills Strong stakeholder communication Strategic thinking with practical implementation ability Ability to translate technical solutions for non-technical teams Outcomes / Success Measures Success in this role will be measured by: Reduction in manual processes Increased operational efficiency Successful deployment of AI-powered workflows Improved data-driven decision making Scalable automation infrastructure Required To excel in this role, you will need a unique blend of traditional cybersecurity expertise and deep learning proficiency. AI/ML Proficiency: Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow) and the underlying mathematics of model architectures. Adversarial AI Knowledge: Proven experience with adversarial machine learning techniques, such as Gradient-based attacks, Evasion attacks, and Model Extraction. Secure Software Development: Expertise in securing CI/CD pipelines and containerized environments (Docker, Kubernetes) specifically for ML workloads. Data Protection: Proficiency in privacy-preserving technologies such as Differential Privacy, Homomorphic Encryption, or Federated Learning. Cloud Security: Deep experience with security configurations in AWS, Azure, or GCP, specifically regarding managed AI services (e.g., SageMaker, Vertex AI). Education Education: A Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related field. Professional Background: 5+ years of experience in Cybersecurity, with at least 2 years specifically focused on AI/ML security or research. Certifications: Relevant certifications such as CISSP, CISM, or specialized AI certifications (e.g., Certified AI Security Professional) are highly regarded.

Requirements

Strong understanding of machine learning frameworks and the underlying mathematics of model architectures.
Proven experience with adversarial machine learning techniques.
Expertise in securing CI/CD pipelines and containerized environments.
Ability to translate technical solutions for non-technical teams.
Strong stakeholder communication and strategic thinking with practical implementation ability.
Problem solving and analytical skills with process thinking and systems design.
Ability to conduct AI-specific threat modeling and internal 'red team' exercises.

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

PyTorch TensorFlow Containerized Environments CI/CD Pipelines Gradient-based attacks Evasion attacks Model Extraction

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Staff

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role candidates must have considerable production experience. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will design and execute structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python Adversarial Machine Learning AI Deployment Architectures ISO 27001 SOC 2 ISO 27701 ISO 27017

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Staff

Python

ISO 27001

ISO 27701

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role candidates must have considerable production experience. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will design and execute structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python ISO 27001 ISO 27701 ISO 27017 Adversarial Machine Learning SOC 2 AI Deployment Architectures

AI Security Staff Engineer - AI Red Team

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Staff

Python

ISO 27001

ISO 27701

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role candidates must have considerable production experience. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will design and execute structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in enterprise security and governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker with a curious and adversarial mindset

Skills

Python ISO 27001 ISO 27701 ISO 27017 Adversarial Machine Learning SOC 2 AI Deployment Architectures

Real Estate Expert- AI Evaluation Team

Full Time

$80,000 - $140,000*

2 weeks ago

Worldwide

Mid

Python

Excel

Google Sheets

+4 more

Job Description

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage. REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a Real Estate Expert – AI Evaluation Team at REAL, you will be responsible for working hands-on with real estate data and turning it into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component. You will work closely with lease agreements, property documents, and asset-related data, primarily within the U.S. commercial real estate market, ensuring accuracy, consistency, and usability. The role is ideal for someone with a background in U.S. commercial real estate or property management who enjoys working with data, going into details, and making things structured and scalable. What You’ll Do Review and process real estate documents (leases, property data, plans) on a daily basis Extract key data points from contracts and input them into structured systems Work with U.S. commercial real estate documents and terminology Clean, organize, and validate large volumes of data Identify inconsistencies, missing data, and anomalies, and resolve them Work closely with internal teams to ensure data is accurate and aligned with product needs Support onboarding of new customer data into the system Maintain high data quality and accuracy standards Improve internal workflows and data handling processes over time Gradually build domain expertise in real estate data and customer use cases What We’re Looking For 2–4 years of experience in U.S. commercial real estate / property management / PropTech (CRE – strong advantage) Experience working with contracts, leases, or property-related documents Native-level English – must (ability to read, write, and understand professional documents and contracts in English) Strong attention to detail and ability to work with high accuracy Comfortable working with data (Excel / Google Sheets required) Analytical mindset and ability to spot issues in data Ability to work independently and handle operational tasks at scale Strong sense of ownership and responsibility Technical curiosity and willingness to work with data systems Good communication skills and ability to collaborate with different teams

Requirements

2–4 years of experience in U.S. commercial real estate / property management / PropTech
Experience working with contracts, leases, or property-related documents
Native-level English
Strong attention to detail and ability to work with high accuracy
Comfortable working with data (Excel / Google Sheets required)
Analytical mindset and ability to spot issues in data
Ability to work independently and handle operational tasks at scale
Strong sense of ownership and responsibility

Benefits

401k Matching
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Excel Google Sheets Real Estate Data Data Analysis Data Science Machine Learning

Construction/ Architect Analyst - AI Evaluation Team

Full Time

$80,000 - $140,000*

2 weeks ago

United States

Worldwide

Mid

Python

Data Analysis

Machine Learning

+2 more

Job Description

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage. REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a Construction/ Architect Analyst - AI Evaluation Team at REAL, you will work hands-on with real estate, construction, and asset-related data, turning complex source materials into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component. You will work closely with lease agreements, property documents, construction-related materials, plans, budgets, reports, and asset data, primarily within the U.S. commercial real estate market. The role is ideal for someone with a background in U.S. commercial real estate, construction analysis, development, property management, or PropTech who enjoys working with documents, data, and details, and can help make messy information structured, accurate, and scalable. What You'll Do Review and process real estate and construction-related documents, including leases, property data, plans, reports, budgets, and project materials Extract key data points from contracts, property documents, and construction-related sources into structured systems Work with U.S. commercial real estate, property, construction, and asset-management terminology Clean, organize, and validate large volumes of data Identify inconsistencies, missing information, anomalies, and document gaps, and help resolve them Analyze construction and property-related inputs to support accurate data structuring and evaluation Work closely with internal teams to ensure data is accurate, consistent, and aligned with product needs Support onboarding of new customer data into the system Maintain high data quality and accuracy standards Improve internal workflows and data handling processes over time Gradually build deeper domain expertise in real estate, construction, and customer use cases What We're Looking For 2-4 years of experience in, U.S. commercial real estate, construction analysis, property management, development, or PropTech Experience working with property documents, construction documents, leases, contracts, budgets, reports, or plans background in CRE, development, construction, architecture, asset management, property management, or operations roles involving construction plans, lease data, and/or financial data — strong advantage Native-level English — must; ability to read, write, and understand professional documents, contracts, reports, and technical materials in English Strong attention to detail and ability to work with high accuracy Comfortable working with data; Excel / Google Sheets required Analytical mindset and ability to identify issues, gaps, and inconsistencies in data Ability to work independently and handle operational tasks at scale Strong sense of ownership and responsibility Technical curiosity and willingness to work with data systems and AI-driven workflows Good communication skills and ability to collaborate with different teams

Requirements

2-4 years of experience in U.S. commercial real estate, construction analysis, property management, development, or PropTech
Experience working with property documents, construction documents, leases, contracts, budgets, reports, or plans
Native-level English
Ability to read, write, and understand professional documents
Strong analytical component and attention to detail

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Training Budget

Skills

Python Data Analysis Machine Learning Real Estate Construction

CRE Accounting Analyst - AI Evaluation Team

Full Time

$80,000 - $140,000*

2 weeks ago

United States

Worldwide

Mid

Python

Data Analysis

Financial Data

+3 more

Job Description

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage. REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a CRE Accounting Analyst at the AI Evaluation Team at REAL, you will work hands-on with real estate, lease, and financial data, turning complex source materials into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component. You will work closely with lease agreements, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, property reports, and asset-related data, primarily within the U.S. commercial real estate market. The role is ideal for someone with a background in real estate accounting, lease accounting, property accounting, real estate finance, asset management, or CRE operations who enjoys working with financial data, documents, and details, and can make messy information structured, accurate, and scalable. What You'll Do Review and process real estate, lease, and financial documents on a daily basis Extract key data points from leases, rent rolls, financial statements, budgets, CAM reconciliations, and property reports into structured systems Work with U.S. commercial real estate, accounting, lease, and property-finance terminology Clean, organize, and validate large volumes of financial and property-level data Identify inconsistencies, missing information, anomalies, and reconciliation gaps, and help resolve them Analyze lease and accounting-related inputs to support accurate data structuring and evaluation Work closely with internal teams to ensure data is accurate, consistent, and aligned with product needs Support onboarding of new customer financial and property data into the system Maintain high data quality and accuracy standards Improve internal workflows and data handling processes over time Gradually build deeper domain expertise in real estate, accounting, financial data, and customer use cases What We're Looking For 2-4 years of experience in real estate accounting, property accounting, lease accounting, fund accounting, real estate finance, asset management, property management, or CRE operations Experience working with leases, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, operating statements, or other property-level financial data Experience in accounting, property accounting, lease accounting, real estate finance, asset management, or CRE operations roles involving lease and/or property-level financial data — strong advantage Native-level English — must; ability to read, write, and understand professional documents, contracts, reports, and financial materials in English Strong attention to detail and ability to work with high accuracy Comfortable working with data; Excel / Google Sheets required Analytical mindset and ability to identify issues, gaps, inconsistencies, and reconciliation problems in data Ability to work independently and handle operational tasks at scale Strong sense of ownership and responsibility Technical curiosity and willingness to work with data systems and AI-driven workflows Good communication skills and ability to collaborate with different teams

Requirements

2-4 years of experience in real estate accounting, property accounting, lease accounting, fund accounting, real estate finance, asset management, property management, or CRE operations
Experience working with leases, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, operating statements, or other property-level financial data
Experience in accounting, property accounting, lease accounting, real estate finance, asset management, or related fields
Ability to work with U.S. commercial real estate, accounting, lease, and property-finance terminology
Ability to clean, organize, and validate large volumes of financial and property-level data

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Training Budget

Skills

Python Data Analysis Financial Data Real Estate Lease Accounting Property Accounting

Security Solutions Architect for NG-SIEM and AI Security

Full Time

$120,000 - $180,000*

1 weeks ago

Worldwide

Senior

Security Operations

Cybersecurity

NG-SIEM

+5 more

Job Description

We are continuously growing and we are looking for a Security Solutions Architect for NG-SIEM & AI to join our UniQue Cybersecurity Solutions team, part of the Enterprise & Presales Solutions Division. In this role, you will interact directly with internal teams, clients and partners, and will be responsible for the design and presentation of cybersecurity solutions that enhance our SOC/MDR offerings and AI-enabled services, effectively bridging business and technology. What will you be bringing to the team? Our UniQue people come from a variety of different backgrounds and industries, with different skillsets and approaches, but they have one thing in common: passion for technology and innovation! For the Security Solutions Architect position, we expect you to: Manage the overall design of high-quality solutions for NG-SIEM, Security Operations & AI‑enabled security solutions for complex projects in GR and EU. Act as a trusted lead advisor providing high level guidance, owning and evolving your area of expertise by working with internal teams, partners and customers. Influence customer decision making through delivery knowledge/value discussions. Support the presales cycle: discovery, demos and contributing to technical proposals. Produce quality documentation and architecture in Cybersecurity solution domain. Keep abreast of new technology developments and innovations by continuous learning, providing proof of concepts (PoC’s), etc. and recommend improvements to architectural processes, tools, and security standards. Translate technical capabilities into business value. What do you need to succeed in this position? Your experience, skillset and qualifications are going to help you succeed in this position, moving forward. Bachelor’s degree in Computer Science, Engineering, Information Technology or related discipline. MSc degree in Information Security and/or Information Security certifications (e.g., CISSP, CISM, related vendor-provided) will be highly appreciated. At least 3 years proven presales / solutions design experience in cybersecurity (including SIEM/SOAR, XDR, or related) with a total of 8 years experience in ICT, preferably in engineering. Familiarity with at least one enterprise SIEM and SOAR; comfortable discussing log onboarding, detections and KPIs at a high level. Knowledge of AI-driven tools within security and understanding how they can be effectively applied within modern architectures. Proficiency in English (written & verbal). Strategic, analytical, and customer-oriented mindset. Effective communicator across technical and non-technical stakeholders, alongside strong negotiation skills. Accountability and result orientation to innovative and high-quality delivery. Ability to set and meet strict deadlines and maintain performance under demanding conditions. What are we offering to our UniQue IT People? People-first approach and open environment to express your ideas Work-life balance and a hybrid work model Continuous training and development Opportunities to join innovation initiatives Ticket restaurant – meal vouchers Corporate laptop and equipment Corporate mobile phone subscription Health and insurance plan for you and your family members Employee consulting and guidance support by Ergonomia Discounts on the services and products of our Group’s companies Gift vouchers for major life milestones Special work schedule on summer Fridays and birthdays Our UniQue IT people are the most valuable part of Uni Systems; their knowledge and experience have made us the leading and reliable systems integrator of today and have contributed to our steady financial growth. We have created and are maintaining a stable working environment for our employees, with countless opportunities to innovate and thrive. Our work culture recognizes our UniQue IT people and supports the free sharing of ideas and the flow of information via open communication while appreciating and effectively utilizing the talents, skills, and perspectives of each employee. At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology or related discipline
MSc degree in Information Security and/or Information Security certifications
At least 3 years proven presales / solutions design experience in cybersecurity
Familiarity with at least one enterprise SIEM and SOAR
Knowledge of AI-driven tools within security
Proficiency in English (written & verbal)
Strategic, analytical, and customer-oriented mindset
Effective communicator across technical and non-technical stakeholders

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work
Remote Work Stipend

Skills

Security Operations Cybersecurity NG-SIEM AI Security Solutions SIEM/SOAR XDR Log onboarding Detections

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

Product & Technical Co-founder (CPTO) - AI Compliance Platform

Full Time

$150,000 - $250,000*

2 weeks ago

Worldwide

Senior

API

AI

Machine Learning

+4 more

Job Description

The Opportunity Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review — analysts reading marketing materials line by line, scanning communications for keywords, and reviewing trades and trade requests by hand. Across more than 25,000 firms, operational costs are significant, and regulatory exposure is even greater. Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade, with the US growing to $32B. The teams that ship credible, audit-ready platforms in the next 18 months will define the category. We intend to be one of them. The Venture The answer is not another rules engine. We are building an explainable AI platform that reasons like a senior compliance officer, cites firm policy and SEC/FINRA regulations for every decision, and produces audit-ready evidence on demand — across marketing, communications, trading, policy, audit, and filings. The platform is designed to operate alongside the systems compliance teams already use, replacing manual review with explainable AI judgments that hold up to regulator scrutiny. The roadmap moves from marketing review into communications surveillance, policy and manuals, audit, and ultimately regulatory filings and enterprise integrations. The Partnership The CEO co-founder is in place. The customer thesis is validated, design partners are engaged, and the market work is complete. What remains is to bring on the technical co-founder — a partner who will own product and engineering with the same conviction, urgency, and ownership stake. This is a co-founder role, not a CPTO hire. In return for that level of commitment, you receive founder-level equity, founder-level authority with co-decision rights on product, technology, hiring, fundraising, and strategy, a board or board-observer seat as appropriate to the cap table and stage, and a genuine partnership with the CEO on every material decision. Role & Responsibilities As Co-Founder & CPTO, you will write the first lines of production code, set the technical direction, and lead execution end-to-end. Architecture & Engineering Culture — Establish the core architecture, engineering culture, and security posture, including SOC 2 readiness, tenant isolation, encryption, and audit logging Product Build — Ship a marketing review prototype into production with a design partner early adopter, then deliver communications surveillance, trading oversight, audit-ready logs and reporting; release GA v1 covering all core modules except regulatory filings within 9 months, and expand into regulatory filings and enterprise integrations through 18 months AI/LLM Build — Own the training and constant evolution of the core AI/LLM model, delivering robust and highly reliable analysis Explainability & Reliability — Own the explainability layer that produces audit-ready evidence on demand, and the reliability engineering that ensures the platform performs consistently in the field Customer & Market — Represent the company in front of all customer constituencies and third-party interests, as well as investors, as the technical voice of the venture Capital — Convert pilots into ten paying customers and reach $1M ARR within 18 months, partnering with the CEO on conversion and fundraising Team — Recruit and lead the founding engineering and applied AI team, and establish the cultural foundation of the company Co-Founder Profile Shipped LLM-powered systems into production environments where incorrect outputs carried real consequences — not prototypes or demonstrations Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, human-in-the-loop workflows, observability, and secure multi-tenant SaaS (SOC 2, tenant isolation, encryption, audit logging) Well-formed convictions about explainability and reliability engineering, developed through direct production experience Preference for systems that perform consistently in the field over systems that demonstrate well in controlled settings Prepared to operate as a principal — setting the technical agenda, making decisive calls under uncertainty, and owning the outcomes that follow Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience; background in legal tech, RegTech, fintech compliance, healthcare, or another high-trust regulated vertical; familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows, marketing review, communications surveillance, and trade monitoring; direct experience self-hosting or privately deploying foundation models How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Requirements

Write production code
Set technical direction
Lead execution end-to-end
Establish core architecture
Engineering culture and security posture
Ship marketing review prototype
Communications surveillance
Trading oversight

Benefits

Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

API AI Machine Learning Python Java Cloud Computing Security

CRE Construction Analyst - AI Evaluation Team

Full Time

$80,000 - $140,000*

2 weeks ago

United States

Worldwide

Mid

Python

Data Analysis

Machine Learning

+2 more

Job Description

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage. REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a CRE Construction Analyst - AI Evaluation Team at REAL, you will work hands-on with real estate, construction, and asset-related data, turning complex source materials into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component. You will work closely with lease agreements, property documents, construction-related materials, plans, budgets, reports, and asset data, primarily within the U.S. commercial real estate market. The role is ideal for someone with a background in U.S. commercial real estate, construction analysis, development, property management, or PropTech who enjoys working with documents, data, and details, and can help make messy information structured, accurate, and scalable. What You'll Do Review and process real estate and construction-related documents, including leases, property data, plans, reports, budgets, and project materials Extract key data points from contracts, property documents, and construction-related sources into structured systems Work with U.S. commercial real estate, property, construction, and asset-management terminology Clean, organize, and validate large volumes of data Identify inconsistencies, missing information, anomalies, and document gaps, and help resolve them Analyze construction and property-related inputs to support accurate data structuring and evaluation Work closely with internal teams to ensure data is accurate, consistent, and aligned with product needs Support onboarding of new customer data into the system Maintain high data quality and accuracy standards Improve internal workflows and data handling processes over time Gradually build deeper domain expertise in real estate, construction, and customer use cases What We're Looking For 2-4 years of experience in, U.S. commercial real estate, construction analysis, property management, development, or PropTech Experience working with property documents, construction documents, leases, contracts, budgets, reports, or plans background in CRE, development, construction, architecture, asset management, property management, or operations roles involving construction plans, lease data, and/or financial data — strong advantage Native-level English — must; ability to read, write, and understand professional documents, contracts, reports, and technical materials in English Strong attention to detail and ability to work with high accuracy Comfortable working with data; Excel / Google Sheets required Analytical mindset and ability to identify issues, gaps, and inconsistencies in data Ability to work independently and handle operational tasks at scale Strong sense of ownership and responsibility Technical curiosity and willingness to work with data systems and AI-driven workflows Good communication skills and ability to collaborate with different teams

Requirements

2-4 years of experience in U.S. commercial real estate, construction analysis, property management, development, or PropTech
Experience working with property documents, construction documents, leases, contracts, budgets, reports, or plans
Native-level English
Ability to read, write, and understand professional documents
Strong analytical component and attention to detail

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

Python Data Analysis Machine Learning Real Estate Construction

CRE Accounting Analyst - AI Evaluation Team

Full Time

$80,000 - $140,000*

2 weeks ago

United States

Worldwide

Mid

Python

Data Analysis

Financial Statements

+5 more

Job Description

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage. REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a CRE Accounting Analyst at the AI Evaluation Team at REAL, you will work hands-on with real estate, lease, and financial data, turning complex source materials into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component. You will work closely with lease agreements, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, property reports, and asset-related data, primarily within the U.S. commercial real estate market. The role is ideal for someone with a background in real estate accounting, lease accounting, property accounting, real estate finance, asset management, or CRE operations who enjoys working with financial data, documents, and details, and can make messy information structured, accurate, and scalable. What You'll Do Review and process real estate, lease, and financial documents on a daily basis Extract key data points from leases, rent rolls, financial statements, budgets, CAM reconciliations, and property reports into structured systems Work with U.S. commercial real estate, accounting, lease, and property-finance terminology Clean, organize, and validate large volumes of financial and property-level data Identify inconsistencies, missing information, anomalies, and reconciliation gaps, and help resolve them Analyze lease and accounting-related inputs to support accurate data structuring and evaluation Work closely with internal teams to ensure data is accurate, consistent, and aligned with product needs Support onboarding of new customer financial and property data into the system Maintain high data quality and accuracy standards Improve internal workflows and data handling processes over time Gradually build deeper domain expertise in real estate, accounting, financial data, and customer use cases What We're Looking For 2-4 years of experience in real estate accounting, property accounting, lease accounting, fund accounting, real estate finance, asset management, property management, or CRE operations Experience working with leases, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, operating statements, or other property-level financial data Experience in accounting, property accounting, lease accounting, real estate finance, asset management, or CRE operations roles involving lease and/or property-level financial data — strong advantage Native-level English — must; ability to read, write, and understand professional documents, contracts, reports, and financial materials in English Strong attention to detail and ability to work with high accuracy Comfortable working with data; Excel / Google Sheets required Analytical mindset and ability to identify issues, gaps, inconsistencies, and reconciliation problems in data Ability to work independently and handle operational tasks at scale Strong sense of ownership and responsibility Technical curiosity and willingness to work with data systems and AI-driven workflows Good communication skills and ability to collaborate with different teams

Requirements

2-4 years of experience in real estate accounting, property accounting, lease accounting, fund accounting, real estate finance, asset management, property management, or CRE operations
Experience working with leases, rent rolls, financial statements, budgets, recoveries, CAM reconciliations, operating statements, or other property-level financial data
Ability to work with U.S. commercial real estate, accounting, lease, and property-finance terminology
Strong analytical and problem-solving skills
Ability to work in a fast-paced environment and meet deadlines

Benefits

401k Matching
Health Insurance
Paid Time Off
Flexible Hours
Remote Work

Skills

Python Data Analysis Financial Statements Financial Data Lease Agreements Rent Rolls Budgets CAM Reconciliations

AI Evaluation Engineer (Knowledge & Research)

Contract

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

JSON

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer with a strong research background to design and evaluate complex, multi-agent tasks used to benchmark next-generation AI systems. In this role, you will work at the intersection of research, data structuring, and AI evaluation, building high-quality tasks that require deep document understanding, structured reasoning, and multi-step synthesis. You will create datasets and evaluation frameworks that test whether AI agents can truly read, reason, and extract knowledge from large-scale unstructured data. This is a high-precision, detail-oriented role requiring strong analytical thinking, structured problem decomposition, and the ability to translate research content into measurable evaluation tasks. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Build multi-agent benchmark tasks that require reading, analyzing, and synthesizing large document collections Curate real-world research corpora — academic papers, case studies, technical reports — and design questions that require comprehensive analysis Write structured ground-truth oracles (JSON) with specific, verifiable answers that prove the agent actually read the source material Design LLM judge prompts that evaluate agent output field-by-field against the oracle Create decomposition guides that split research across multiple parallel sub-agents (one per document, one per domain, then synthesis) 5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain Strong ability to read, analyze, and extract structured information from unstructured documents Experience designing or working with structured data formats (JSON, schemas, validation) Proficiency in Python scripting (data processing, validation, or evaluation scripts) Experience with AI evaluation, coding benchmarks, or structured reasoning tasks (e.g., SWE-bench, Terminal-bench, or similar) Experience working with Docker (building images, debugging containers) Strong attention to detail, especially when defining exact, verifiable outputs Ability to design complex, multi-step problem-solving workflows

Requirements

5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain
Strong ability to read, analyze, and extract structured information from unstructured documents
Experience designing or working with structured data formats (JSON, schemas, validation)
Proficiency in Python scripting (data processing, validation, or evaluation scripts)
Experience with AI evaluation, coding benchmarks, or structured reasoning tasks
Strong attention to detail, especially when defining exact, verifiable outputs
Ability to design complex, multi-step problem-solving workflows

Skills

Python JSON Docker AI evaluation Machine Learning

AI Evaluation Engineer (Knowledge & Research)

Contract

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

JSON

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer with a strong research background to design and evaluate complex, multi-agent tasks used to benchmark next-generation AI systems. In this role, you will work at the intersection of research, data structuring, and AI evaluation, building high-quality tasks that require deep document understanding, structured reasoning, and multi-step synthesis. You will create datasets and evaluation frameworks that test whether AI agents can truly read, reason, and extract knowledge from large-scale unstructured data. This is a high-precision, detail-oriented role requiring strong analytical thinking, structured problem decomposition, and the ability to translate research content into measurable evaluation tasks. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Build multi-agent benchmark tasks that require reading, analyzing, and synthesizing large document collections Curate real-world research corpora — academic papers, case studies, technical reports — and design questions that require comprehensive analysis Write structured ground-truth oracles (JSON) with specific, verifiable answers that prove the agent actually read the source material Design LLM judge prompts that evaluate agent output field-by-field against the oracle Create decomposition guides that split research across multiple parallel sub-agents (one per document, one per domain, then synthesis) 5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain Strong ability to read, analyze, and extract structured information from unstructured documents Experience designing or working with structured data formats (JSON, schemas, validation) Proficiency in Python scripting (data processing, validation, or evaluation scripts) Experience with AI evaluation, coding benchmarks, or structured reasoning tasks (e.g., SWE-bench, Terminal-bench, or similar) Experience working with Docker (building images, debugging containers) Strong attention to detail, especially when defining exact, verifiable outputs Ability to design complex, multi-step problem-solving workflows

Requirements

5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain
Strong ability to read, analyze, and extract structured information from unstructured documents
Experience designing or working with structured data formats (JSON, schemas, validation)
Proficiency in Python scripting (data processing, validation, or evaluation scripts)
Experience with AI evaluation, coding benchmarks, or structured reasoning tasks
Strong attention to detail, especially when defining exact, verifiable outputs
Ability to design complex, multi-step problem-solving workflows

Skills

Python JSON Docker AI evaluation Machine Learning

AI Evaluation Engineer (Knowledge & Research)

Contract

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

JSON

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer with a strong research background to design and evaluate complex, multi-agent tasks used to benchmark next-generation AI systems. In this role, you will work at the intersection of research, data structuring, and AI evaluation, building high-quality tasks that require deep document understanding, structured reasoning, and multi-step synthesis. You will create datasets and evaluation frameworks that test whether AI agents can truly read, reason, and extract knowledge from large-scale unstructured data. This is a high-precision, detail-oriented role requiring strong analytical thinking, structured problem decomposition, and the ability to translate research content into measurable evaluation tasks. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Build multi-agent benchmark tasks that require reading, analyzing, and synthesizing large document collections Curate real-world research corpora — academic papers, case studies, technical reports — and design questions that require comprehensive analysis Write structured ground-truth oracles (JSON) with specific, verifiable answers that prove the agent actually read the source material Design LLM judge prompts that evaluate agent output field-by-field against the oracle Create decomposition guides that split research across multiple parallel sub-agents (one per document, one per domain, then synthesis) 5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain Strong ability to read, analyze, and extract structured information from unstructured documents Experience designing or working with structured data formats (JSON, schemas, validation) Proficiency in Python scripting (data processing, validation, or evaluation scripts) Experience with AI evaluation, coding benchmarks, or structured reasoning tasks (e.g., SWE-bench, Terminal-bench, or similar) Experience working with Docker (building images, debugging containers) Strong attention to detail, especially when defining exact, verifiable outputs Ability to design complex, multi-step problem-solving workflows

Requirements

5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain
Strong ability to read, analyze, and extract structured information from unstructured documents
Experience designing or working with structured data formats (JSON, schemas, validation)
Proficiency in Python scripting (data processing, validation, or evaluation scripts)
Experience with AI evaluation, coding benchmarks, or structured reasoning tasks
Strong attention to detail, especially when defining exact, verifiable outputs
Ability to design complex, multi-step problem-solving workflows

Skills

Python JSON Docker AI evaluation Machine Learning

AI Evaluation Engineer (Knowledge & Research)

Contract

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

JSON

Docker

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer with a strong research background to design and evaluate complex, multi-agent tasks used to benchmark next-generation AI systems. In this role, you will work at the intersection of research, data structuring, and AI evaluation, building high-quality tasks that require deep document understanding, structured reasoning, and multi-step synthesis. You will create datasets and evaluation frameworks that test whether AI agents can truly read, reason, and extract knowledge from large-scale unstructured data. This is a high-precision, detail-oriented role requiring strong analytical thinking, structured problem decomposition, and the ability to translate research content into measurable evaluation tasks. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Build multi-agent benchmark tasks that require reading, analyzing, and synthesizing large document collections Curate real-world research corpora — academic papers, case studies, technical reports — and design questions that require comprehensive analysis Write structured ground-truth oracles (JSON) with specific, verifiable answers that prove the agent actually read the source material Design LLM judge prompts that evaluate agent output field-by-field against the oracle Create decomposition guides that split research across multiple parallel sub-agents (one per document, one per domain, then synthesis) 5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain Strong ability to read, analyze, and extract structured information from unstructured documents Experience designing or working with structured data formats (JSON, schemas, validation) Proficiency in Python scripting (data processing, validation, or evaluation scripts) Experience with AI evaluation, coding benchmarks, or structured reasoning tasks (e.g., SWE-bench, Terminal-bench, or similar) Experience working with Docker (building images, debugging containers) Strong attention to detail, especially when defining exact, verifiable outputs Ability to design complex, multi-step problem-solving workflows

Requirements

5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain
Strong ability to read, analyze, and extract structured information from unstructured documents
Experience designing or working with structured data formats (JSON, schemas, validation)
Proficiency in Python scripting (data processing, validation, or evaluation scripts)
Experience with AI evaluation, coding benchmarks, or structured reasoning tasks
Strong attention to detail, especially when defining exact, verifiable outputs
Ability to design complex, multi-step problem-solving workflows

Skills

Python JSON Docker AI evaluation Machine Learning

AI Evaluation Engineer (Knowledge & Research)

Contract

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

Docker

Machine Learning

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer with a strong research background to design and evaluate complex, multi-agent tasks used to benchmark next-generation AI systems. In this role, you will work at the intersection of research, data structuring, and AI evaluation, building high-quality tasks that require deep document understanding, structured reasoning, and multi-step synthesis. You will create datasets and evaluation frameworks that test whether AI agents can truly read, reason, and extract knowledge from large-scale unstructured data. This is a high-precision, detail-oriented role requiring strong analytical thinking, structured problem decomposition, and the ability to translate research content into measurable evaluation tasks. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Build multi-agent benchmark tasks that require reading, analyzing, and synthesizing large document collections Curate real-world research corpora — academic papers, case studies, technical reports — and design questions that require comprehensive analysis Write structured ground-truth oracles (JSON) with specific, verifiable answers that prove the agent actually read the source material Design LLM judge prompts that evaluate agent output field-by-field against the oracle Create decomposition guides that split research across multiple parallel sub-agents (one per document, one per domain, then synthesis) 5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain Strong ability to read, analyze, and extract structured information from unstructured documents Experience designing or working with structured data formats (JSON, schemas, validation) Proficiency in Python scripting (data processing, validation, or evaluation scripts) Experience with AI evaluation, coding benchmarks, or structured reasoning tasks (e.g., SWE-bench, Terminal-bench, or similar) Experience working with Docker (building images, debugging containers) Strong attention to detail, especially when defining exact, verifiable outputs Ability to design complex, multi-step problem-solving workflows

Requirements

5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain
Strong ability to read, analyze, and extract structured information from unstructured documents
Experience designing or working with structured data formats (JSON, schemas, validation)
Proficiency in Python scripting (data processing, validation, or evaluation scripts)
Experience with AI evaluation, coding benchmarks, or structured reasoning tasks
Strong attention to detail, especially when defining exact, verifiable outputs
Ability to design complex, multi-step problem-solving workflows

Skills

Python Docker Machine Learning AI evaluation JSON

AI Evaluation Engineer (Knowledge & Research)

Contract

$120,000 - $180,000*

2 weeks ago

Worldwide

Senior

Python

Docker

Machine Learning

+2 more

Job Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for an AI Evaluation Engineer with a strong research background to design and evaluate complex, multi-agent tasks used to benchmark next-generation AI systems. In this role, you will work at the intersection of research, data structuring, and AI evaluation, building high-quality tasks that require deep document understanding, structured reasoning, and multi-step synthesis. You will create datasets and evaluation frameworks that test whether AI agents can truly read, reason, and extract knowledge from large-scale unstructured data. This is a high-precision, detail-oriented role requiring strong analytical thinking, structured problem decomposition, and the ability to translate research content into measurable evaluation tasks. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks+ Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria,Turkey, Vietnam Interview: take home assessment (60min) Responsibilities Build multi-agent benchmark tasks that require reading, analyzing, and synthesizing large document collections Curate real-world research corpora — academic papers, case studies, technical reports — and design questions that require comprehensive analysis Write structured ground-truth oracles (JSON) with specific, verifiable answers that prove the agent actually read the source material Design LLM judge prompts that evaluate agent output field-by-field against the oracle Create decomposition guides that split research across multiple parallel sub-agents (one per document, one per domain, then synthesis) 5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain Strong ability to read, analyze, and extract structured information from unstructured documents Experience designing or working with structured data formats (JSON, schemas, validation) Proficiency in Python scripting (data processing, validation, or evaluation scripts) Experience with AI evaluation, coding benchmarks, or structured reasoning tasks (e.g., SWE-bench, Terminal-bench, or similar) Experience working with Docker (building images, debugging containers) Strong attention to detail, especially when defining exact, verifiable outputs Ability to design complex, multi-step problem-solving workflows

Requirements

5+ years of experience in research (academic or industry) in a scientific, technical, or analytical domain
Strong ability to read, analyze, and extract structured information from unstructured documents
Experience designing or working with structured data formats (JSON, schemas, validation)
Proficiency in Python scripting (data processing, validation, or evaluation scripts)
Experience with AI evaluation, coding benchmarks, or structured reasoning tasks
Strong attention to detail, especially when defining exact, verifiable outputs
Ability to design complex, multi-step problem-solving workflows

Skills

Python Docker Machine Learning JSON AI evaluation

Specialist Cloud & AI Security

Full Time

$120,000 - $180,000*

3 weeks ago

Worldwide

Senior

AWS

Azure

GCP

+5 more

Job Description

Grade: L1 Location: Islamabad Last date to apply: 30 April 2026 What is Specialist Cloud & AI Security? Specialist Cloud & AI Security is responsible to secure cloud environments and AI/ML systems against evolving cyber threats. This role focuses on protecting cloud infrastructure, applications, data pipelines, and AI models from misconfigurations, adversarial attacks, and data breaches while ensuring compliance and resilience. The role reports directly to the Manager Architecture & Cloud Security with an extended team of 15 team members. What does Specialist Cloud & AI Security do? 1. Design and implement secure architectures across cloud platforms (AWS, Azure, GCP) 2. Enforce security best practices: a. Identity & Access Management (IAM) b. Network segmentation (VPCs, private endpoints) c. Encryption (at rest, in transit, key management) 3. Deploy and manage cloud security tools (CSPM, CWPP, CIEM) 4. Conduct cloud security posture assessments and hardening 5. Secure AI/ML pipelines (data ingestion → training → deployment → inference) 6. Mitigate AI-specific threats: a. Data poisoning b. Model inversion / extraction c. Adversarial attacks 7. Implement controls for: a. Model integrity and versioning b. Secure APIs for AI services c. Protection of training datasets and sensitive data 8. Develop detection rules for AI-specific abuse patterns 9. Ensure compliance with: a. ISO 27001, NIST, CIS benchmarks b. Data privacy regulations (GDPR, local laws) 10. Conduct risk assessments for cloud and AI deployments 11. Define policies for responsible and secure AI usage JazzWorld is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees. What are we looking for and what does it require to be Cloud & AI Security Expert? BS/MS in AI/CyberSeurity/Information Technology Practical experience of Cloud & AI 1+ Years of experience in Cloud Security. Exposure to AI/ML environments is highly desirable · Functional o Ability to organize, plan and document tasks; o Ability to manage internal & external stakeholders; o Possess good logical and analytical skills to help in analysis of Cyber Security risks · Technical o Hands-on experience with AWS / Azure / GCP security controls o Strong understanding of: § IAM, VPC, Security Groups, Load Balancers § Cloud-native logging and monitoring o Strong knowledge of: § Network security, encryption, secure protocols § Vulnerability management and incident response § Experience with SIEM tools (Splunk, Sentinel, LogRhythm, etc.) o Understanding of: § ML lifecycle and model deployment § AI-specific risks (adversarial ML, model theft) o Familiarity with AI frameworks (TensorFlow, PyTorch) is a plus Why join JazzWorld? As a certified Top Employer, JazzWorld reflects workplace standards benchmarked against leading global organizations, demonstrating our commitment to creating an environment where people can thrive and perform at their best. Our teams are driven by the belief that every JazzWorld employee should be inspired to live better every day, enabled by forward-looking leadership, an open culture, meaningful work, and continuous opportunities to learn and grow. Our core values - Customer Obsession, Truthful, Innovation, Collaboration, and Entrepreneurial shape how we think, decide, and lead. They encourage us to challenge convention, act with accountability, work as one team, and create solutions that truly matter for our customers and communities. As Pakistan's largest digital operator, JazzWorld serves over 100 million through connectivity, digital services, financial inclusion, entertainment, and insurance. Joining us means being part of transformation at a national scale; expanding access, unlocking opportunity, and building a more connected digital future. At JazzWorld, everything we do is rooted in one shared ambition. This purpose defines how we work, the progress we enable, and the difference we strive to make every day a Better Life For All.

Requirements

BS/MS in AI/CyberSecurity/Information Technology
1+ Years of experience in Cloud Security
Exposure to AI/ML environments is highly desirable
Ability to organize, plan and document tasks
Ability to manage internal & external stakeholders
Possess good logical and analytical skills to help in analysis of Cyber Security risks
Hands-on experience with AWS / Azure / GCP security controls
Strong understanding of IAM, VPC, Security Groups, Load Balancers

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program

Skills

AWS Azure GCP IAM VPC Security Groups Load Balancers Cloud-native logging and monitoring

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Vector DBs

Fine-tuning Pipelines

Python

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Vector DBs Fine-tuning Pipelines Python Adversarial Machine Learning RAG APIs AI Deployment Architectures

AI Security Engineer - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 SOC 2 ISO 27701 ISO 27017 RAG

AI Security Engineer - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 SOC 2 ISO 27701 ISO 27017 RAG

AI Security Engineer - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

4 weeks ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 RAG ISO 27017 ISO 27701 SOC 2

Lead Risk Analyst - Model Validation

Full Time

$80,000 - $150,000*

4 weeks ago

United Kingdom

Worldwide

Lead

Python

SQL

SAS

+3 more

Job Description

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices. We are looking for a talented and passionate Lead Risk Analyst - Model Validation to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation / model build experience across a variety of models (e.g., credit risk, AI, forecasting) and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As a Lead Analyst - Model Validation, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines. Producing committee papers and presenting at committees. Presenting high-level validation findings to Senior leadership. Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle. Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience); Experience in model validation or model development, ideally across different model types. Knowledge of the AI models would be a bonus. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Ability to articulate findings from analysis in a succinct and clear way that is suitable for the target audience. Organised, flexible and adaptable, with the ability to switch between tasks seamlessly. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day’s holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Requirements

Graduate level education preferable
Experience in model validation or model development
Knowledge of AI models
Expert in analytical tools
Ability to articulate findings
Organised, flexible and adaptable
Strong problem-solving skills
Excellent communication and teamwork abilities

Benefits

Life Insurance

Skills

Python SQL SAS Spreadsheets AI/ML Models Model Validation

Lead Risk Analyst - Model Validation

Full Time

$80,000 - $140,000*

4 weeks ago

United Kingdom

Worldwide

Lead

Python

SQL

SAS

+3 more

Job Description

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices. We are looking for a talented and passionate Lead Risk Analyst - Model Validation to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation / model build experience across a variety of models (e.g., credit risk, AI, forecasting) and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As a Lead Analyst - Model Validation, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines. Producing committee papers and presenting at committees. Presenting high-level validation findings to Senior leadership. Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle. Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience); Experience in model validation or model development, ideally across different model types. Knowledge of the AI models would be a bonus. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Ability to articulate findings from analysis in a succinct and clear way that is suitable for the target audience. Organised, flexible and adaptable, with the ability to switch between tasks seamlessly. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day’s holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Requirements

Graduate level education preferable
Experience in model validation or model development
Knowledge of AI models
Expert in analytical tools
Ability to articulate findings
Organised, flexible and adaptable
Strong problem-solving skills
Excellent communication and teamwork abilities

Benefits

Life Insurance

Skills

Python SQL SAS Spreadsheets AI/ML Models Model Validation

Lead Risk Analyst - Model Validation

Full Time

$80,000 - $140,000*

4 weeks ago

United Kingdom

Worldwide

Lead

Python

SQL

SAS

+3 more

Job Description

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices. We are looking for a talented and passionate Lead Risk Analyst - Model Validation to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation / model build experience across a variety of models (e.g., credit risk, AI, forecasting) and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As a Lead Analyst - Model Validation, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines. Producing committee papers and presenting at committees. Presenting high-level validation findings to Senior leadership. Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle. Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience); Experience in model validation or model development, ideally across different model types. Knowledge of the AI models would be a bonus. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Ability to articulate findings from analysis in a succinct and clear way that is suitable for the target audience. Organised, flexible and adaptable, with the ability to switch between tasks seamlessly. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day’s holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Requirements

Graduate level education preferable
Experience in model validation or model development
Knowledge of AI models
Expert in analytical tools
Ability to articulate findings
Organised, flexible and adaptable
Strong problem-solving skills
Excellent communication and teamwork abilities

Benefits

Life Insurance

Skills

Python SQL SAS Spreadsheets AI/ML Models Model Validation

Real Estate Expert- AI Evaluation Team

Full Time

$80,000 - $140,000*

1 months ago

United States

Worldwide

Mid

Python

Excel

Data Analysis

+3 more

Job Description

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage. REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a Real Estate Expert – AI Evaluation Team at REAL, you will be responsible for working hands-on with real estate data and turning it into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component. You will work closely with lease agreements, property documents, and asset-related data, primarily within the U.S. commercial real estate market, ensuring accuracy, consistency, and usability. The role is ideal for someone with a background in U.S. commercial real estate or property management who enjoys working with data, going into details, and making things structured and scalable. What You’ll Do Review and process real estate documents (leases, property data, plans) on a daily basis Extract key data points from contracts and input them into structured systems Work with U.S. commercial real estate documents and terminology Clean, organize, and validate large volumes of data Identify inconsistencies, missing data, and anomalies, and resolve them Work closely with internal teams to ensure data is accurate and aligned with product needs Support onboarding of new customer data into the system Maintain high data quality and accuracy standards Improve internal workflows and data handling processes over time Gradually build domain expertise in real estate data and customer use cases What We’re Looking For 2–4 years of experience in U.S. commercial real estate / property management / PropTech (CRE – strong advantage) Experience working with contracts, leases, or property-related documents Native-level English – must (ability to read, write, and understand professional documents and contracts in English) Strong attention to detail and ability to work with high accuracy Comfortable working with data (Excel / Google Sheets required) Analytical mindset and ability to spot issues in data Ability to work independently and handle operational tasks at scale Strong sense of ownership and responsibility Technical curiosity and willingness to work with data systems Good communication skills and ability to collaborate with different teams

Requirements

2–4 years of experience in U.S. commercial real estate / property management / PropTech
Native-level English
Strong attention to detail and ability to work with high accuracy
Comfortable working with data (Excel / Google Sheets required)
Analytical mindset and ability to spot issues in data

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Training Budget

Skills

Python Excel Data Analysis Machine Learning Google Sheets Real Estate Data

Head of Data Protection and AI Governance

Full Time

$120,000 - $180,000*

1 months ago

Worldwide

Senior

Data Protection

AI Governance

Compliance

+1 more

Job Description

We’re Civica and we make software that helps deliver critical services for citizens all around the world. From local to state government, to education, to health and care, over 5,000 public bodies across the globe use our software to help provide critical services to over 100 million citizens. Our aspiration is to be a GovTech champion everywhere we work around the globe, supporting the needs of citizens and those that serve them every day. Building on 21 years of continuous growth and success, we're at a pivotal point on our journey to realise that aspiration. Why you will love this opportunity as Head of Data Protection and AI Governance at Civica Our Compliance & Integrity function sits at the heart of how we operate ensuring that as we innovate, we do so responsibly, lawfully, and with the full confidence of our customers, partners, and regulators. As we continue to grow and deepen our use of artificial intelligence across our products and services, we are looking for an exceptional individual to lead our Data Protection & AI Governance function shaping how Civica manages data and AI not just compliantly, but with integrity and ambition. Reporting to and partnering closely with the Group Compliance Officer & DPO, the Head of DP & AI Governance will set the strategic direction for responsible data and AI use across the enterprise. You will own the frameworks, policies, and operational programmes that underpin Civica's approach to privacy and AI governance, and provide senior leadership and expert assurance to the wider business. This is a exciting and significant leadership role that is both a strategic and hands-on role. You will shape the vision and build the capability while remaining close enough to operations to ensure your frameworks are embedded, effective, and future-ready. What you will do to be successful in this role: Lead, develop, and mentor the DP & AI Governance team building a high-performing function that is capable of operating at pace in a complex, regulated environment. You will help define and own Civica's enterprise-wide DP & AI governance framework, ensuring it remains aligned to the evolving regulatory landscape, business strategy, and industry expectations. Working closely with teams across Civica, you will embed governance across the product and AI lifecycle making compliance an enabler of innovation rather than a barrier to it. You will design and own the AI Governance & DP operations roadmap, including policies, standards, role-based training, privacy tooling, and an ISO 27701-aligned Privacy Information Management System. You will lead end-to-end privacy operations — from RoPA, DPIAs, and LIAs to DSARs, incidents, cross-border transfer programmes, and supplier assurance — with clear SLAs, dashboards, and oversight structures in place. At a senior level, you will act as the expert reviewer for high-risk processing activities and complex privacy decisions, provide escalation support across incidents and supplier risks, and coordinate privacy and AI integration planning for M&A activity. You will also provide transparent, confident assurance to the Group Compliance Officer / DPO and senior leadership on DP and AI risks, regulatory developments, and the maturity of Civica's governance posture. Deep experience building and scaling privacy and AI governance programmes, including operating a Privacy Information Management System (PIMS), managing RoPA, cross-border transfers, supplier assurance, and lifecycle governance, underpinned by strong metrics, dashboards, and stakeholder leadership. Strong applied knowledge of UK and international privacy and AI regulation, including GDPR, DPA 2018, PECR, ISO 27701, the EU AI Act, and ethical AI principles — with the ability to translate regulatory requirements into practical, business-facing frameworks. Proven capability in governance design, with the confidence and credibility to influence senior stakeholders and drive meaningful change across a complex, matrixed organisation. A strategic thinker with a future-focused mindset — innovative, comfortable operating in ambiguity, and able to anticipate regulatory and business change before it lands. Demonstrated experience leading and developing high-performing teams of data protection and AI governance professionals, with a collaborative and empowering leadership style. Hands-on experience of AI risk management across the full AI lifecycle, including use-case triage, impact/risk assessment, fairness and bias testing, human oversight controls, deployment approvals, incident management, and post-deployment monitoring of AI systems for performance, drift, misuse and unintended outcomes. Flexibility to accommodate global time zones where required, reflecting Civica's international operating footprint. We Want You to Bring Your Whole Self to Work There is no such thing as the perfect candidate, so if you think you have what it takes but don't necessarily meet every single point on the list above, please still get in touch. We'd love to have a chat and see if you could be a great fit. Why You'll Love Working with Us As a company, we're passionate about what we do and the citizens we serve. If you, too, want to champion the use of technology in public services to improve outcomes for citizens and public sector organizations, then Civica is the right place for you. We will help you unlock the best version of yourself, achieve career growth, and make a real difference to people and communities. We know that when our people are happy, they work better and have greater job satisfaction. Here's what you can expect: Time Off & Work-Life Balance ✔ 25 Days Annual Leave + bank holidays – plus the option to buy up to 10 extra days! ✔ Days of Difference – Up to 3 extra days off for volunteering. Financial Well-being & Security ✔ Pension Contributions – 5% employer match to support your future. ✔ Income Protection – Up to 75% salary cover for long-term illness. ✔ Life Assurance – 4x salary tax-free lump sum. ✔ Critical Illness Cover – £25,000 lump sum (extendable to dependents). Health & Perks ✔ Private Medical Insurance – Fast access to private healthcare. ✔ Health Cash Plan – Claim back physio, therapies & more. ✔ Dental Insurance – Cover for routine & emergency care. ✔ Affinity Groups – Join employee-led communities. ✔ Bounty Bonus – Refer a friend & get rewarded. At Civica, we are committed to building an inclusive and diverse workplace where everyone feels valued and supported. We believe that a variety of perspectives drives innovation and excellence, and we welcome applicants from all backgrounds, cultures, and experiences. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, disability, age, or any other legally protected characteristic. Our recruitment process is designed to ensure fairness and transparency, so every candidate has an equal chance to contribute to our mission. If you need any adjustments or accommodations to participate in our recruitment process, please let us know. We are here to support you.

Requirements

Lead, develop, and mentor the DP & AI Governance team
Define and own Civica's enterprise-wide DP & AI governance framework
Embed governance across the product and AI lifecycle
Design and own the AI Governance & DP operations roadmap
Act as the expert reviewer for high-risk processing activities and complex privacy decisions

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Training Budget

Skills

Data Protection AI Governance Compliance Leadership

Head of Data Protection and AI Governance

Full Time

$120,000 - $180,000*

1 months ago

Worldwide

Senior

Data Protection

AI Governance

Compliance

+1 more

Job Description

We’re Civica and we make software that helps deliver critical services for citizens all around the world. From local to state government, to education, to health and care, over 5,000 public bodies across the globe use our software to help provide critical services to over 100 million citizens. Our aspiration is to be a GovTech champion everywhere we work around the globe, supporting the needs of citizens and those that serve them every day. Building on 21 years of continuous growth and success, we're at a pivotal point on our journey to realise that aspiration. Why you will love this opportunity as Head of Data Protection and AI Governance at Civica Our Compliance & Integrity function sits at the heart of how we operate ensuring that as we innovate, we do so responsibly, lawfully, and with the full confidence of our customers, partners, and regulators. As we continue to grow and deepen our use of artificial intelligence across our products and services, we are looking for an exceptional individual to lead our Data Protection & AI Governance function shaping how Civica manages data and AI not just compliantly, but with integrity and ambition. Reporting to and partnering closely with the Group Compliance Officer & DPO, the Head of DP & AI Governance will set the strategic direction for responsible data and AI use across the enterprise. You will own the frameworks, policies, and operational programmes that underpin Civica's approach to privacy and AI governance, and provide senior leadership and expert assurance to the wider business. This is a exciting and significant leadership role that is both a strategic and hands-on role. You will shape the vision and build the capability while remaining close enough to operations to ensure your frameworks are embedded, effective, and future-ready. What you will do to be successful in this role: Lead, develop, and mentor the DP & AI Governance team building a high-performing function that is capable of operating at pace in a complex, regulated environment. You will help define and own Civica's enterprise-wide DP & AI governance framework, ensuring it remains aligned to the evolving regulatory landscape, business strategy, and industry expectations. Working closely with teams across Civica, you will embed governance across the product and AI lifecycle making compliance an enabler of innovation rather than a barrier to it. You will design and own the AI Governance & DP operations roadmap, including policies, standards, role-based training, privacy tooling, and an ISO 27701-aligned Privacy Information Management System. You will lead end-to-end privacy operations — from RoPA, DPIAs, and LIAs to DSARs, incidents, cross-border transfer programmes, and supplier assurance — with clear SLAs, dashboards, and oversight structures in place. At a senior level, you will act as the expert reviewer for high-risk processing activities and complex privacy decisions, provide escalation support across incidents and supplier risks, and coordinate privacy and AI integration planning for M&A activity. You will also provide transparent, confident assurance to the Group Compliance Officer / DPO and senior leadership on DP and AI risks, regulatory developments, and the maturity of Civica's governance posture. Deep experience building and scaling privacy and AI governance programmes, including operating a Privacy Information Management System (PIMS), managing RoPA, cross-border transfers, supplier assurance, and lifecycle governance, underpinned by strong metrics, dashboards, and stakeholder leadership. Strong applied knowledge of UK and international privacy and AI regulation, including GDPR, DPA 2018, PECR, ISO 27701, the EU AI Act, and ethical AI principles — with the ability to translate regulatory requirements into practical, business-facing frameworks. Proven capability in governance design, with the confidence and credibility to influence senior stakeholders and drive meaningful change across a complex, matrixed organisation. A strategic thinker with a future-focused mindset — innovative, comfortable operating in ambiguity, and able to anticipate regulatory and business change before it lands. Demonstrated experience leading and developing high-performing teams of data protection and AI governance professionals, with a collaborative and empowering leadership style. Hands-on experience of AI risk management across the full AI lifecycle, including use-case triage, impact/risk assessment, fairness and bias testing, human oversight controls, deployment approvals, incident management, and post-deployment monitoring of AI systems for performance, drift, misuse and unintended outcomes. Flexibility to accommodate global time zones where required, reflecting Civica's international operating footprint. We Want You to Bring Your Whole Self to Work There is no such thing as the perfect candidate, so if you think you have what it takes but don't necessarily meet every single point on the list above, please still get in touch. We'd love to have a chat and see if you could be a great fit. Why You'll Love Working with Us As a company, we're passionate about what we do and the citizens we serve. If you, too, want to champion the use of technology in public services to improve outcomes for citizens and public sector organizations, then Civica is the right place for you. We will help you unlock the best version of yourself, achieve career growth, and make a real difference to people and communities. We know that when our people are happy, they work better and have greater job satisfaction. Here's what you can expect: Time Off & Work-Life Balance ✔ 25 Days Annual Leave + bank holidays – plus the option to buy up to 10 extra days! ✔ Days of Difference – Up to 3 extra days off for volunteering. Financial Well-being & Security ✔ Pension Contributions – 5% employer match to support your future. ✔ Income Protection – Up to 75% salary cover for long-term illness. ✔ Life Assurance – 4x salary tax-free lump sum. ✔ Critical Illness Cover – £25,000 lump sum (extendable to dependents). Health & Perks ✔ Private Medical Insurance – Fast access to private healthcare. ✔ Health Cash Plan – Claim back physio, therapies & more. ✔ Dental Insurance – Cover for routine & emergency care. ✔ Affinity Groups – Join employee-led communities. ✔ Bounty Bonus – Refer a friend & get rewarded. At Civica, we are committed to building an inclusive and diverse workplace where everyone feels valued and supported. We believe that a variety of perspectives drives innovation and excellence, and we welcome applicants from all backgrounds, cultures, and experiences. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, disability, age, or any other legally protected characteristic. Our recruitment process is designed to ensure fairness and transparency, so every candidate has an equal chance to contribute to our mission. If you need any adjustments or accommodations to participate in our recruitment process, please let us know. We are here to support you.

Requirements

Lead, develop, and mentor the DP & AI Governance team
Define and own Civica's enterprise-wide DP & AI governance framework
Embed governance across the product and AI lifecycle
Design and own the AI Governance & DP operations roadmap
Act as the expert reviewer for high-risk processing activities and complex privacy decisions

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Training Budget

Skills

Data Protection AI Governance Compliance Leadership

Head of Data Protection and AI Governance

Full Time

$120,000 - $180,000*

1 months ago

Worldwide

Senior

Data Protection

AI Governance

Compliance

+1 more

Job Description

We’re Civica and we make software that helps deliver critical services for citizens all around the world. From local to state government, to education, to health and care, over 5,000 public bodies across the globe use our software to help provide critical services to over 100 million citizens. Our aspiration is to be a GovTech champion everywhere we work around the globe, supporting the needs of citizens and those that serve them every day. Building on 21 years of continuous growth and success, we're at a pivotal point on our journey to realise that aspiration. Why you will love this opportunity as Head of Data Protection and AI Governance at Civica Our Compliance & Integrity function sits at the heart of how we operate ensuring that as we innovate, we do so responsibly, lawfully, and with the full confidence of our customers, partners, and regulators. As we continue to grow and deepen our use of artificial intelligence across our products and services, we are looking for an exceptional individual to lead our Data Protection & AI Governance function shaping how Civica manages data and AI not just compliantly, but with integrity and ambition. Reporting to and partnering closely with the Group Compliance Officer & DPO, the Head of DP & AI Governance will set the strategic direction for responsible data and AI use across the enterprise. You will own the frameworks, policies, and operational programmes that underpin Civica's approach to privacy and AI governance, and provide senior leadership and expert assurance to the wider business. This is a exciting and significant leadership role that is both a strategic and hands-on role. You will shape the vision and build the capability while remaining close enough to operations to ensure your frameworks are embedded, effective, and future-ready. What you will do to be successful in this role: Lead, develop, and mentor the DP & AI Governance team building a high-performing function that is capable of operating at pace in a complex, regulated environment. You will help define and own Civica's enterprise-wide DP & AI governance framework, ensuring it remains aligned to the evolving regulatory landscape, business strategy, and industry expectations. Working closely with teams across Civica, you will embed governance across the product and AI lifecycle making compliance an enabler of innovation rather than a barrier to it. You will design and own the AI Governance & DP operations roadmap, including policies, standards, role-based training, privacy tooling, and an ISO 27701-aligned Privacy Information Management System. You will lead end-to-end privacy operations — from RoPA, DPIAs, and LIAs to DSARs, incidents, cross-border transfer programmes, and supplier assurance — with clear SLAs, dashboards, and oversight structures in place. At a senior level, you will act as the expert reviewer for high-risk processing activities and complex privacy decisions, provide escalation support across incidents and supplier risks, and coordinate privacy and AI integration planning for M&A activity. You will also provide transparent, confident assurance to the Group Compliance Officer / DPO and senior leadership on DP and AI risks, regulatory developments, and the maturity of Civica's governance posture. Deep experience building and scaling privacy and AI governance programmes, including operating a Privacy Information Management System (PIMS), managing RoPA, cross-border transfers, supplier assurance, and lifecycle governance, underpinned by strong metrics, dashboards, and stakeholder leadership. Strong applied knowledge of UK and international privacy and AI regulation, including GDPR, DPA 2018, PECR, ISO 27701, the EU AI Act, and ethical AI principles — with the ability to translate regulatory requirements into practical, business-facing frameworks. Proven capability in governance design, with the confidence and credibility to influence senior stakeholders and drive meaningful change across a complex, matrixed organisation. A strategic thinker with a future-focused mindset — innovative, comfortable operating in ambiguity, and able to anticipate regulatory and business change before it lands. Demonstrated experience leading and developing high-performing teams of data protection and AI governance professionals, with a collaborative and empowering leadership style. Hands-on experience of AI risk management across the full AI lifecycle, including use-case triage, impact/risk assessment, fairness and bias testing, human oversight controls, deployment approvals, incident management, and post-deployment monitoring of AI systems for performance, drift, misuse and unintended outcomes. Flexibility to accommodate global time zones where required, reflecting Civica's international operating footprint. We Want You to Bring Your Whole Self to Work There is no such thing as the perfect candidate, so if you think you have what it takes but don't necessarily meet every single point on the list above, please still get in touch. We'd love to have a chat and see if you could be a great fit. Why You'll Love Working with Us As a company, we're passionate about what we do and the citizens we serve. If you, too, want to champion the use of technology in public services to improve outcomes for citizens and public sector organizations, then Civica is the right place for you. We will help you unlock the best version of yourself, achieve career growth, and make a real difference to people and communities. We know that when our people are happy, they work better and have greater job satisfaction. Here's what you can expect: Time Off & Work-Life Balance ✔ 25 Days Annual Leave + bank holidays – plus the option to buy up to 10 extra days! ✔ Days of Difference – Up to 3 extra days off for volunteering. Financial Well-being & Security ✔ Pension Contributions – 5% employer match to support your future. ✔ Income Protection – Up to 75% salary cover for long-term illness. ✔ Life Assurance – 4x salary tax-free lump sum. ✔ Critical Illness Cover – £25,000 lump sum (extendable to dependents). Health & Perks ✔ Private Medical Insurance – Fast access to private healthcare. ✔ Health Cash Plan – Claim back physio, therapies & more. ✔ Dental Insurance – Cover for routine & emergency care. ✔ Affinity Groups – Join employee-led communities. ✔ Bounty Bonus – Refer a friend & get rewarded. At Civica, we are committed to building an inclusive and diverse workplace where everyone feels valued and supported. We believe that a variety of perspectives drives innovation and excellence, and we welcome applicants from all backgrounds, cultures, and experiences. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, disability, age, or any other legally protected characteristic. Our recruitment process is designed to ensure fairness and transparency, so every candidate has an equal chance to contribute to our mission. If you need any adjustments or accommodations to participate in our recruitment process, please let us know. We are here to support you.

Requirements

Lead, develop, and mentor the DP & AI Governance team
Define and own Civica's enterprise-wide DP & AI governance framework
Embed governance across the product and AI lifecycle
Design and own the AI Governance & DP operations roadmap
Act as the expert reviewer for high-risk processing activities and complex privacy decisions

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Training Budget

Skills

Data Protection AI Governance Compliance Leadership

Head of Data Protection and AI Governance

Full Time

$120,000 - $180,000*

1 months ago

Worldwide

Senior

Data Protection

AI Governance

Compliance

+1 more

Job Description

We’re Civica and we make software that helps deliver critical services for citizens all around the world. From local to state government, to education, to health and care, over 5,000 public bodies across the globe use our software to help provide critical services to over 100 million citizens. Our aspiration is to be a GovTech champion everywhere we work around the globe, supporting the needs of citizens and those that serve them every day. Building on 21 years of continuous growth and success, we're at a pivotal point on our journey to realise that aspiration. Why you will love this opportunity as Head of Data Protection and AI Governance at Civica Our Compliance & Integrity function sits at the heart of how we operate ensuring that as we innovate, we do so responsibly, lawfully, and with the full confidence of our customers, partners, and regulators. As we continue to grow and deepen our use of artificial intelligence across our products and services, we are looking for an exceptional individual to lead our Data Protection & AI Governance function shaping how Civica manages data and AI not just compliantly, but with integrity and ambition. Reporting to and partnering closely with the Group Compliance Officer & DPO, the Head of DP & AI Governance will set the strategic direction for responsible data and AI use across the enterprise. You will own the frameworks, policies, and operational programmes that underpin Civica's approach to privacy and AI governance, and provide senior leadership and expert assurance to the wider business. This is a exciting and significant leadership role that is both a strategic and hands-on role. You will shape the vision and build the capability while remaining close enough to operations to ensure your frameworks are embedded, effective, and future-ready. What you will do to be successful in this role: Lead, develop, and mentor the DP & AI Governance team building a high-performing function that is capable of operating at pace in a complex, regulated environment. You will help define and own Civica's enterprise-wide DP & AI governance framework, ensuring it remains aligned to the evolving regulatory landscape, business strategy, and industry expectations. Working closely with teams across Civica, you will embed governance across the product and AI lifecycle making compliance an enabler of innovation rather than a barrier to it. You will design and own the AI Governance & DP operations roadmap, including policies, standards, role-based training, privacy tooling, and an ISO 27701-aligned Privacy Information Management System. You will lead end-to-end privacy operations — from RoPA, DPIAs, and LIAs to DSARs, incidents, cross-border transfer programmes, and supplier assurance — with clear SLAs, dashboards, and oversight structures in place. At a senior level, you will act as the expert reviewer for high-risk processing activities and complex privacy decisions, provide escalation support across incidents and supplier risks, and coordinate privacy and AI integration planning for M&A activity. You will also provide transparent, confident assurance to the Group Compliance Officer / DPO and senior leadership on DP and AI risks, regulatory developments, and the maturity of Civica's governance posture. Deep experience building and scaling privacy and AI governance programmes, including operating a Privacy Information Management System (PIMS), managing RoPA, cross-border transfers, supplier assurance, and lifecycle governance, underpinned by strong metrics, dashboards, and stakeholder leadership. Strong applied knowledge of UK and international privacy and AI regulation, including GDPR, DPA 2018, PECR, ISO 27701, the EU AI Act, and ethical AI principles — with the ability to translate regulatory requirements into practical, business-facing frameworks. Proven capability in governance design, with the confidence and credibility to influence senior stakeholders and drive meaningful change across a complex, matrixed organisation. A strategic thinker with a future-focused mindset — innovative, comfortable operating in ambiguity, and able to anticipate regulatory and business change before it lands. Demonstrated experience leading and developing high-performing teams of data protection and AI governance professionals, with a collaborative and empowering leadership style. Hands-on experience of AI risk management across the full AI lifecycle, including use-case triage, impact/risk assessment, fairness and bias testing, human oversight controls, deployment approvals, incident management, and post-deployment monitoring of AI systems for performance, drift, misuse and unintended outcomes. Flexibility to accommodate global time zones where required, reflecting Civica's international operating footprint. We Want You to Bring Your Whole Self to Work There is no such thing as the perfect candidate, so if you think you have what it takes but don't necessarily meet every single point on the list above, please still get in touch. We'd love to have a chat and see if you could be a great fit. Why You'll Love Working with Us As a company, we're passionate about what we do and the citizens we serve. If you, too, want to champion the use of technology in public services to improve outcomes for citizens and public sector organizations, then Civica is the right place for you. We will help you unlock the best version of yourself, achieve career growth, and make a real difference to people and communities. We know that when our people are happy, they work better and have greater job satisfaction. Here's what you can expect: Time Off & Work-Life Balance ✔ 25 Days Annual Leave + bank holidays – plus the option to buy up to 10 extra days! ✔ Days of Difference – Up to 3 extra days off for volunteering. Financial Well-being & Security ✔ Pension Contributions – 5% employer match to support your future. ✔ Income Protection – Up to 75% salary cover for long-term illness. ✔ Life Assurance – 4x salary tax-free lump sum. ✔ Critical Illness Cover – £25,000 lump sum (extendable to dependents). Health & Perks ✔ Private Medical Insurance – Fast access to private healthcare. ✔ Health Cash Plan – Claim back physio, therapies & more. ✔ Dental Insurance – Cover for routine & emergency care. ✔ Affinity Groups – Join employee-led communities. ✔ Bounty Bonus – Refer a friend & get rewarded. At Civica, we are committed to building an inclusive and diverse workplace where everyone feels valued and supported. We believe that a variety of perspectives drives innovation and excellence, and we welcome applicants from all backgrounds, cultures, and experiences. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, disability, age, or any other legally protected characteristic. Our recruitment process is designed to ensure fairness and transparency, so every candidate has an equal chance to contribute to our mission. If you need any adjustments or accommodations to participate in our recruitment process, please let us know. We are here to support you.

Requirements

Lead, develop, and mentor the DP & AI Governance team
Define and own Civica's enterprise-wide DP & AI governance framework
Embed governance across the product and AI lifecycle
Design and own the AI Governance & DP operations roadmap
Act as the expert reviewer for high-risk processing activities and complex privacy decisions

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Training Budget

Skills

Data Protection AI Governance Compliance Leadership

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (US)

Contract

$0.01k - $0.014k

2 months ago

Worldwide

Entry

Italian

Large Language Models

Problem-solving

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (PST) 9:00 AM to 6:00 PM Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $10.00 USD to $14.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Italian, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Italian Large Language Models Problem-solving Language analysis Structured tasks

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (Global)

Contract

$0.01k - $0.014k

2 months ago

Worldwide

Entry

Italian

Large Language Models

Structured Guidelines

+3 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (PST) 9:00 AM to 6:00 PM Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $10.00 USD to $14.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Italian, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Italian Large Language Models Structured Guidelines Problem-solving Language analysis Critical thinking

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (Global)

Contract

$0.01k - $0.014k

2 months ago

Worldwide

Entry

Italian

Large Language Models

Structured Guidelines

+3 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (PST) 9:00 AM to 6:00 PM Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $10.00 USD to $14.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Italian, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Italian Large Language Models Structured Guidelines Problem-solving Language analysis Critical thinking

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (Global)

Contract

$0.01k - $0.014k

2 months ago

Worldwide

Entry

Large Language Models

Problem-solving

Language analysis

+3 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (PST) 9:00 AM to 6:00 PM Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $10.00 USD to $14.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Italian, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Large Language Models Problem-solving Language analysis Critical thinking Italian Structured Guidelines

Test & AI Evaluation Lead

Full Time

$120,000 - $180,000*

2 months ago

United Kingdom

Worldwide

Senior

AI

Machine Learning

Python

+4 more

Job Description

Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-time permanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high‑stakes environments in the world - defence, national security, AI and robotics. The decisions we make now, will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast‑growing UK deep‑tech company developing AI and robotic systems designed to operate in mission‑critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi‑modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real‑world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior AI Generative Robotics Engineer you will be an essential part of our success. You’ll work at the cutting edge of agentic and generative AI, building systems that move beyond lab demos and into real-world deployment at pace. At Oxford Dynamics, you’ll have the freedom to experiment in a fast-moving environment, the responsibility to deliver, and the opportunity to shape how multi-agent AI systems operate in complex, constrained, and high-trust environments. If you’re excited by agent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI-driven, mission-critical systems - from multi-agent orchestration and LLM outputs through to cloud infrastructure and real-time user-facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end-to-end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key ResponsibilitiesTest Strategy & Leadership Define and own the end-to-end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non-deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission-critical, safety-conscious, and security-first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data-Focused Testing Design approaches for testing multi-agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test-automation-first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud-native and AI systems. Non-Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure-by-design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision-ready quality reporting to technical and non-technical stakeholders. Support customer-facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud-native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM-based systems, including non-deterministic outputs. Exposure to agent-based or workflow-driven architectures. Soft Skills A pragmatic, delivery-focused mindset - able to balance speed with rigour. Comfortable operating in fast-moving, ambiguous, R&D-heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you’ll get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast-growing, successful, early-stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production-ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI-driven software, this role gives you genuine ownership and impact.

Requirements

Design and lead test approaches for AI-driven, mission-critical systems
Validate agent behaviours, data pipelines, and end-to-end operational workflows
Work embedded with AI, Backend, Frontend, and DevOps teams
Shape how we validate agent behaviours, data pipelines, and end-to-end operational workflows
Collaborate with the team to ensure correctness, resilience, and security of AI systems

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Remote Work Stipend

Skills

AI Machine Learning Python Java C++ Cloud Infrastructure Robotics

AI Evaluation & Annotation Specialist (Entry-Mid Level) - German

Contract

$0.017k - $0.018k

2 months ago

Worldwide

Mid

German

Large Language Models

Problem-solving

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (PST) 9:00 AM to 6:00 PM Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $17.00 USD to $18.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in German, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

German Large Language Models Problem-solving Language analysis Structured tasks

AI Evaluation & Annotation Specialist (Entry-Mid Level) - German (US)

Contract

$0.015k - $0.017k

2 months ago

Worldwide

Mid

German

Large Language Models

Problem-solving

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (PST) 9:00 AM to 6:00 PM Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $15.00 USD to $17.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in German, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.
Detail-oriented and enjoy accuracy-based work.
Comfortable working independently with minimal supervision.

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

German Large Language Models Problem-solving Language analysis Structured tasks

AI Evaluation & Annotation Specialist (Entry-Mid Level) - German (Canada)

Contract

$0.015k - $0.017k

2 months ago

Canada

Worldwide

Mid

German

Large Language Models

Problem-solving

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (PST) 9:00 AM to 6:00 PM Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $15.00 USD to $17.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in German, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

German Large Language Models Problem-solving Language analysis Structured tasks

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.005k - $0.006k

2 months ago

Worldwide

Entry

Large Language Models

Linguistics

Annotation

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $5.00 USD to $6.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Large Language Models Linguistics Annotation Evaluation Spanish AI-generated responses Translation

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.005k - $0.006k

2 months ago

Worldwide

Entry

Large Language Models

Linguistics

Annotation

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $5.00 USD to $6.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Large Language Models Linguistics Annotation Evaluation Spanish AI-generated responses Translation

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.005k - $0.006k

2 months ago

Worldwide

Entry

Large Language Models

Linguistics

Annotation

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $5.00 USD to $6.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Large Language Models Linguistics Annotation Evaluation Spanish AI-generated responses Translation

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.005k - $0.006k

2 months ago

Worldwide

Entry

Spanish

Large Language Models

AI-generated responses

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $5.00 USD to $6.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Spanish Large Language Models AI-generated responses Annotation Evaluation Translation Linguistics

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.005k - $0.006k

2 months ago

Worldwide

Entry

Spanish

Large Language Models

AI-generated responses

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $5.00 USD to $6.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Spanish Large Language Models AI-generated responses Annotation Evaluation Translation Linguistics

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Spanish LATAM

Contract

$0.005k - $0.006k

2 months ago

Worldwide

Entry

Large Language Models

Annotation

Evaluation

+4 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $5.00 USD to $6.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Spanish, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Large Language Models Annotation Evaluation Linguistics Spanish AI-generated responses Translation

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Japanese (USA)

Contract

$0.012k - $0.016k

2 months ago

Worldwide

Entry

Japanese

Large Language Models

Problem-solving

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $12.00 USD to $16.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Japanese, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.

Benefits

Paid Time Off

Skills

Japanese Large Language Models Problem-solving Language analysis Structured tasks

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Japanese (USA)

Contract

$0.012k - $0.016k

2 months ago

Worldwide

Entry

Japanese

Large Language Models

Problem-solving

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $12.00 USD to $16.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Japanese, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.

Benefits

Paid Time Off

Skills

Japanese Large Language Models Problem-solving Language analysis Structured tasks

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Japanese (USA)

Contract

$0.012k - $0.016k

2 months ago

Worldwide

Entry

Japanese

Large Language Models

Linguistics

+5 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $12.00 USD to $16.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Japanese, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.
Fluency in Japanese, with strong written and verbal communication skills.
Bachelor's degree in Linguistics, Computer Science

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

Japanese Large Language Models Linguistics Problem-solving Critical thinking Reading comprehension Annotation Evaluation

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Japanese (USA)

Contract

$0.012k - $0.016k

2 months ago

Worldwide

Entry

Japanese

Large Language Models

Problem-solving

+5 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $12.00 USD to $16.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Japanese, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.
Fluency in Japanese, with strong written and verbal communication skills.
Bachelor's degree in Linguistics, Computer Science

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Internet Stipend
Learning Budget
Paid Time Off
Remote Work

Skills

Japanese Large Language Models Problem-solving Linguistics Critical thinking Reading comprehension Annotation Evaluation

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Japanese (USA)

Contract

$0.012k - $0.016k

2 months ago

Worldwide

Entry

Japanese

Large Language Models

Problem-solving

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $12.00 USD to $16.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Japanese, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.

Benefits

Paid Time Off

Skills

Japanese Large Language Models Problem-solving Language analysis Structured tasks

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Japanese (USA)

Contract

$0.012k - $0.016k

2 months ago

Worldwide

Entry

Large Language Models

Problem-solving

Language analysis

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (IST) 06:30 – 15:30 IST OR 19:30 – 03:30 IST Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $12.00 USD to $16.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Japanese, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Large Language Models Problem-solving Language analysis Structured tasks Japanese

AP - AI Security Expert (Remote)

Full Time

PHP 70k - PHP 120k

3 months ago

Worldwide

Senior

AI/ML

Cloud Platforms

APIs

+5 more

Job Description

Note: This is for active pooling purposes only. Submitting your application does not guarantee employment. Your details will be kept on file and considered for future opportunities as they become available.

We are seeking a dedicated and detail-oriented AI Security Expert to join our team at D2B. This role is ideal for someone with experience securing AI/ML systems in fast-paced FinTech environments and a passion for protecting intelligent platforms from emerging threats. You will work closely with our engineering, data science, and infrastructure teams to design, implement, and maintain robust security measures across our AI-driven applications, particularly within the financial technology space. Your experience with Australian, UK, or US-based FinTech companies will be invaluable as you help safeguard our models, data, and digital platforms against evolving security risks while ensuring compliance with global standards and best practices.

Position: AI Security Expert

Salary: PHP 70,000 - PHP 120,000/month (flexible for more experienced candidates)

Working Hours & Conditions: Mondays to Fridays, 7:00AM to 4:00PM PH Time; full-time (remote)

Holidays: TBD

Responsibilities:

Design, implement, and maintain security controls to protect AI/ML systems, models, and data pipelines from internal and external threats.
Conduct threat modeling, vulnerability assessments, and penetration testing specifically targeting AI infrastructure and machine learning workflows.
Secure model training, deployment, and inference environments, including APIs, cloud platforms, and data storage systems.
Monitor AI systems for anomalies, adversarial attacks, model abuse, data poisoning, and unauthorized access.
Collaborate with engineering, DevOps, and data science teams to integrate security best practices into the AI/ML development lifecycle (Secure AI SDLC).
Develop and enforce security policies, standards, and procedures related to AI systems and sensitive financial data.
Ensure compliance with relevant regulatory requirements and frameworks such as ISO 27001, SOC 2, GDPR, and financial industry security standards.
Implement identity and access management (IAM), encryption, key management, and secure authentication mechanisms for AI platforms.
Respond to and investigate security incidents involving AI systems, including root cause analysis and remediation.
Stay up to date with emerging AI security threats, vulnerabilities, and best practices, and proactively recommend improvements.

Qualifications:

1 - 3 years of experience in cybersecurity, focused on AI/ML security, application security, or cloud security.
Experience securing AI/ML systems, data pipelines, APIs, and cloud-based infrastructure (AWS, Azure, or GCP).
Strong understanding of common security principles, including encryption, authentication, authorization, and secure coding practices.
Knowledge of AI/ML concepts, including model training, deployment, inference, and common risks such as adversarial attacks and data poisoning.
Experience with security tools such as SIEM, vulnerability scanners, endpoint protection, and cloud security platforms.
Familiarity with DevSecOps practices and integrating security into CI/CD pipelines.
Understanding of FinTech security requirements and regulatory compliance standards is highly preferred.
Experience working with Australian, UK, or US-based FinTech companies is a strong advantage.
Relevant certifications such as CISSP, CEH, CompTIA Security+, AWS Security Specialty, or equivalent are a plus.
Strong analytical, problem-solving, and incident response skills.
Excellent communication and collaboration skills, with the ability to work in fast-paced, cross-functional teams.

Benefits

Competitive salary based on experience and skill set
100% remote role — work from home anywhere in the Philippines
Paid local holidays aligned with the Australian business calendar
Opportunities for training and professional growth
Work directly with a supportive Australian team — no agency middleman
Long-term engagement with a stable and growing business

Requirements

Design, implement, and maintain security controls to protect AI/ML systems, models, and data pipelines from internal and external threats.
Conduct threat modeling, vulnerability assessments, and penetration testing specifically targeting AI infrastructure and machine learning workflows.
Secure model training, deployment, and inference environments, including APIs, cloud platforms, and data storage systems.
Monitor AI systems for anomalies, adversarial attacks, model abuse, data poisoning, and unauthorized access.
Collaborate with engineering, DevOps, and data science teams to integrate security best practices into the AI/ML development lifecycle (Secure AI SDLC).

Benefits

Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work
Remote Work Stipend
Training Budget

Skills

AI/ML Cloud Platforms APIs Penetration Testing Threat modeling Security Controls Data Storage Systems Vulnerability Assessments

AI Security Expert - 115

Full Time

Up to PHP 150k

3 months ago

Worldwide

Senior

PyTorch

TensorFlow

CI/CD Pipelines

+4 more

Job Description

Position: AI SECURITY EXPERT

Salary range: up to ₱150,000 PHP (with the final offer subject to the client’s discretion based on the candidate’s experience)

Working Hours: AU/NZ business hours

Work set-up: 100% Remote work

Holidays: New Zealand Holidays

COMPANY OVERVIEW

Our company is a leading-edge workforce and asset management platform dedicated to resourcing seamlessly at scale. We empower industries with mobile workforces—such as construction, healthcare, and logistics—by streamlining complex scheduling, compliance, and safety workflows through intelligent automation.

OVERVIEW ON THE ROLE

The AI Security Expert bridges the gap between cybersecurity and machine learning to protect AI systems from emerging threats while ensuring models are secure, compliant, and resilient. You will proactively manage risks unique to AI environments—such as adversarial attacks and data poisoning—to build trustworthy, production-ready systems that are robust against an evolving cyber threat landscape.

Core Responsibilities

Your focus will be on the end-to-end security of our AI lifecycle, specifically targeting the following areas:

Pipeline Security: Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering.
Adversarial Defense: Proactively identifying and preventing adversarial attacks, including input manipulation, model inversion, and data poisoning.
Intellectual Property & Privacy: Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property.
Threat Modeling & Red Teaming: Conducting AI-specific threat modeling and internal "red team" exercises to discover vulnerabilities before they can be exploited.
Governance & Compliance: Ensuring all AI initiatives align with global security standards (e.g., ISO/IEC 42001, NIST AI RMF), ethical guidelines, and emerging AI governance frameworks.

Qualifications & Technical Skills

Process thinking and systems design
Problem solving and analytical skills
Strong stakeholder communication
Strategic thinking with practical implementation ability
Ability to translate technical solutions for non-technical teams

Outcomes / Success Measures

Success in this role will be measured by:

Reduction in manual processes
Increased operational efficiency
Successful deployment of AI-powered workflows
Improved data-driven decision making
Scalable automation infrastructure

Required

To excel in this role, you will need a unique blend of traditional cybersecurity expertise and deep learning proficiency.

AI/ML Proficiency: Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow) and the underlying mathematics of model architectures.
Adversarial AI Knowledge: Proven experience with adversarial machine learning techniques, such as Gradient-based attacks, Evasion attacks, and Model Extraction.
Secure Software Development: Expertise in securing CI/CD pipelines and containerized environments (Docker, Kubernetes) specifically for ML workloads.
Data Protection: Proficiency in privacy-preserving technologies such as Differential Privacy, Homomorphic Encryption, or Federated Learning.
Cloud Security: Deep experience with security configurations in AWS, Azure, or GCP, specifically regarding managed AI services (e.g., SageMaker, Vertex AI).

Education

Education: A Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related field.
Professional Background: 5+ years of experience in Cybersecurity, with at least 2 years specifically focused on AI/ML security or research.
Certifications: Relevant certifications such as CISSP, CISM, or specialized AI certifications (e.g., Certified AI Security Professional) are highly regarded.

Requirements

Strong understanding of machine learning frameworks and the underlying mathematics of model architectures.
Proven experience with adversarial machine learning techniques.
Expertise in securing CI/CD pipelines and containerized environments.
Ability to translate technical solutions for non-technical teams.
Strong stakeholder communication and strategic thinking with practical implementation ability.
Problem solving and analytical skills with process thinking and systems design.
Ability to conduct AI-specific threat modeling and internal 'red team' exercises.

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

PyTorch TensorFlow CI/CD Pipelines Gradient-based attacks Evasion attacks Model Extraction Containerized environment

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Korean

Contract

$0.011k - $0.014k

4 months ago

Worldwide

Mid

Large Language Models

Problem-solving

Korean

+2 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence?

We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency.

No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit.

This is a hands-on, production-based role where accuracy, focus, and consistency matter.

What You’ll Do

Review AI-generated responses and rate them for clarity, correctness, and relevance.
Annotate and label content based on project-specific guidelines.
Follow detailed written instructions and apply them consistently.
Generate or evaluate prompts depending on assignment type.
Work with QA Leads to apply feedback and continuously improve task quality.
Report completed work daily and meet productivity and quality standards.

What Makes You a Strong Fit

You’re detail-oriented and enjoy accuracy-based work.
You can follow instructions carefully and apply them consistently.
You’re comfortable working independently with minimal supervision.
You have strong reading comprehension and critical thinking skills.
You communicate clearly and respond to feedback professionally.

Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided.

Schedule & Work Expectations

This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team:

Language

Work Schedule:

9:00AM to 6:00PM KST

Only logged, approved hours are paid.

This project follows a no paid holidays / no paid time off model.

Location Restrictions

We are unable to accept applicants currently residing in:

Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, United States, Venezuela.

Why Join

✔ Work with a global team

✔ Entry point into the growing AI and language technology industry

✔ Exposure to real-world AI model training

✔ Skill development in annotation, QA/evaluation, and structured AI tasks

This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles.

Compensation Range

Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD:

$11.00 USD to $14.00 USD per hour

Assessment Requirement

All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards.

Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role.

Fluency in Korean, with strong written and verbal communication skills.
Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience.
Experience or interest in AI, Machine Learning, or data annotation preferred.
Strong attention to detail and ability to work with complex data sets.
Familiarity with translation and localization processes is an advantage.
Ability to work independently and collaboratively in a fast-paced environment.
Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Large Language Models Problem-solving Korean Language analysis Structured tasks

Senior Manager - Model Risk Management (6 month FTC)

Contract

$80,000 - $120,000*

3 months ago

United Kingdom

Worldwide

Senior

Model Risk Governance

Model Development

Model Validation

+4 more

Job Description

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices.

A fantastic opportunity has become available as a Senior Risk Manager in our growing Model Risk Oversight team. As a Senior Risk Manager you will be working across all business areas on implementation and compliance assessment of the Model Risk Policy and all related modelling standards. You will be responsible for the maintenance of the Bank’s model inventory, and reporting on model performance against risk appetite.

Please note; this is a 6 month fixed-term contract.

Key Responsibilities

Work across all business areas on implementation and compliance assessment of Model Risk Policy.
Lead on periodic reviews of Model Risk Governance Policies and Standards.
Update and maintain the Model Inventory, risk assessment and reporting.
Track and report on the compliance of models with governance requirements.
Keep track of industry trends and regulatory requirements to continually enhance the Bank’s approach to model and AI risk.
Report to Committees on the performance of models, including against the Bank’s model risk appetite.
Develop an assurance plan for model and AI risk and undertake assurance reviews.

Experience in model risk oversight and control related roles within a Banking environment.
A detailed understanding of the types of models used within a Bank, including where model risks may arise.
A proven ability to interpret and comply with regulatory requirements.
Proven experience in influencing, negotiation and relationship management.
Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk.
A good understanding of model development, validation and implementation processes.
Strong understanding of best practice in model risk governance.
Ability to create clear and informative summary information and MI packs.

25 days holiday (plus take your public holiday allowance whenever works best for you)
An extra day’s holiday for your birthday
Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
16 hours paid volunteering time a year
Salary sacrifice, company enhanced pension scheme
Life insurance at 4x your salary
Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
Generous family-friendly policies
Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships

About Us

You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.

We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice.

By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Requirements

Experience in model risk oversight and control related roles within a Banking environment
A detailed understanding of the types of models used within a Bank, including where model risks may arise
A proven ability to interpret and comply with regulatory requirements
Proven experience in influencing, negotiation and relationship management
Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk
A good understanding of model development, validation and implementation processes
Strong understanding of best practice in model risk governance
Ability to create clear and informative summary information and MI packs

Benefits

Flexible Hours
Gym Membership
Health Insurance
Life Insurance
Paid Time Off
Volunteer Time Off

Skills

Model Risk Governance Model Development Model Validation Machine Learning Data Science Risk Management Compliance

Senior Manager - Model Risk Management (6 month FTC)

Contract

$80,000 - $120,000*

3 months ago

United Kingdom

Worldwide

Senior

Model Risk Governance

Model Development

Model Validation

+4 more

Job Description

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices.

A fantastic opportunity has become available as a Senior Risk Manager in our growing Model Risk Oversight team. As a Senior Risk Manager you will be working across all business areas on implementation and compliance assessment of the Model Risk Policy and all related modelling standards. You will be responsible for the maintenance of the Bank’s model inventory, and reporting on model performance against risk appetite.

Please note; this is a 6 month fixed-term contract.

Key Responsibilities

Work across all business areas on implementation and compliance assessment of Model Risk Policy.
Lead on periodic reviews of Model Risk Governance Policies and Standards.
Update and maintain the Model Inventory, risk assessment and reporting.
Track and report on the compliance of models with governance requirements.
Keep track of industry trends and regulatory requirements to continually enhance the Bank’s approach to model and AI risk.
Report to Committees on the performance of models, including against the Bank’s model risk appetite.
Develop an assurance plan for model and AI risk and undertake assurance reviews.

Experience in model risk oversight and control related roles within a Banking environment.
A detailed understanding of the types of models used within a Bank, including where model risks may arise.
A proven ability to interpret and comply with regulatory requirements.
Proven experience in influencing, negotiation and relationship management.
Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk.
A good understanding of model development, validation and implementation processes.
Strong understanding of best practice in model risk governance.
Ability to create clear and informative summary information and MI packs.

25 days holiday (plus take your public holiday allowance whenever works best for you)
An extra day’s holiday for your birthday
Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
16 hours paid volunteering time a year
Salary sacrifice, company enhanced pension scheme
Life insurance at 4x your salary
Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
Generous family-friendly policies
Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships

About Us

You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.

We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice.

By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Requirements

Experience in model risk oversight and control related roles within a Banking environment
A detailed understanding of the types of models used within a Bank, including where model risks may arise
A proven ability to interpret and comply with regulatory requirements
Proven experience in influencing, negotiation and relationship management
Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk
A good understanding of model development, validation and implementation processes
Strong understanding of best practice in model risk governance
Ability to create clear and informative summary information and MI packs

Benefits

Flexible Hours
Gym Membership
Health Insurance
Life Insurance
Paid Time Off
Volunteer Time Off

Skills

Model Risk Governance Model Development Model Validation Machine Learning Data Science Risk Management Compliance

Senior Manager - Model Risk Management (6 month FTC)

Contract

$80,000 - $120,000*

3 months ago

United Kingdom

Worldwide

Senior

Model Development

Model Validation

Machine Learning

+4 more

Job Description

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices.

A fantastic opportunity has become available as a Senior Risk Manager in our growing Model Risk Oversight team. As a Senior Risk Manager you will be working across all business areas on implementation and compliance assessment of the Model Risk Policy and all related modelling standards. You will be responsible for the maintenance of the Bank’s model inventory, and reporting on model performance against risk appetite.

Please note; this is a 6 month fixed-term contract.

Key Responsibilities

Work across all business areas on implementation and compliance assessment of Model Risk Policy.
Lead on periodic reviews of Model Risk Governance Policies and Standards.
Update and maintain the Model Inventory, risk assessment and reporting.
Track and report on the compliance of models with governance requirements.
Keep track of industry trends and regulatory requirements to continually enhance the Bank’s approach to model and AI risk.
Report to Committees on the performance of models, including against the Bank’s model risk appetite.
Develop an assurance plan for model and AI risk and undertake assurance reviews.

Experience in model risk oversight and control related roles within a Banking environment.
A detailed understanding of the types of models used within a Bank, including where model risks may arise.
A proven ability to interpret and comply with regulatory requirements.
Proven experience in influencing, negotiation and relationship management.
Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk.
A good understanding of model development, validation and implementation processes.
Strong understanding of best practice in model risk governance.
Ability to create clear and informative summary information and MI packs.

25 days holiday (plus take your public holiday allowance whenever works best for you)
An extra day’s holiday for your birthday
Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
16 hours paid volunteering time a year
Salary sacrifice, company enhanced pension scheme
Life insurance at 4x your salary
Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
Generous family-friendly policies
Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships

About Us

You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.

We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice.

By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Requirements

Experience in model risk oversight and control related roles within a Banking environment
A detailed understanding of the types of models used within a Bank, including where model risks may arise
A proven ability to interpret and comply with regulatory requirements
Proven experience in influencing, negotiation and relationship management
Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk
A good understanding of model development, validation and implementation processes
Strong understanding of best practice in model risk governance
Ability to create clear and informative summary information and MI packs

Benefits

Flexible Hours
Gym Membership
Health Insurance
Life Insurance
Paid Time Off
Volunteer Time Off

Skills

Model Development Model Validation Machine Learning Data Science Risk Management Compliance Model Risk Governance

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 months ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

The Opportunity

We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations.

This is not a theoretical research role.

This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance.

If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that.

What You’ll Do

Design and lead adversarial testing of LLM and AI-driven systems
Conduct threat modelling across model, infrastructure and data layers
Execute and oversee testing for:
Prompt injection
Jailbreaking
Model exploitation
Data leakage / extraction
RAG system manipulation
Translate findings into structured, audit-ready documentation
Map vulnerabilities and remediation pathways to:
ISO 27001 controls
SOC 2 Trust Service Criteria
ISO 27701 privacy controls
ISO 27017 cloud security controls
Partner closely with engineering, security, and compliance functions
Present findings clearly to executive leadership

This role ensures AI security findings integrated into enterprise governance frameworks.

What We’re Looking For

Core Technical Depth

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
Strong Python proficiency

Enterprise Security & Governance Fluency

Experience working within ISO 27001 environments
Practical knowledge of SOC 2 Trust Service Criteria
Understanding of ISO 27701 privacy extensions
Familiarity with ISO 27017 cloud security controls
Ability to map technical findings to control frameworks

Communication & Documentation

Ability to produce clear, structured, audit-friendly documentation
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Who You Are

Systems thinker
Curious and adversarial in mindset
Comfortable identifying uncomfortable truths
Autonomous and fast-moving
Enterprise-aware, not just technically strong
Able to operate independently under executive leadership

You understand that security is about both breaking systems and integrating findings into operational and compliance posture.

Comprehensive Private Medical Coverage
Support for Mental Health Expenses
Life Insurance Options
Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 SOC 2 ISO 27701 ISO 27017 RAG

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 months ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

The Opportunity

We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations.

This is not a theoretical research role.

This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance.

If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that.

What You’ll Do

Design and lead adversarial testing of LLM and AI-driven systems
Conduct threat modelling across model, infrastructure and data layers
Execute and oversee testing for:
Prompt injection
Jailbreaking
Model exploitation
Data leakage / extraction
RAG system manipulation
Translate findings into structured, audit-ready documentation
Map vulnerabilities and remediation pathways to:
ISO 27001 controls
SOC 2 Trust Service Criteria
ISO 27701 privacy controls
ISO 27017 cloud security controls
Partner closely with engineering, security, and compliance functions
Present findings clearly to executive leadership

This role ensures AI security findings integrated into enterprise governance frameworks.

What We’re Looking For

Core Technical Depth

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
Strong Python proficiency

Enterprise Security & Governance Fluency

Experience working within ISO 27001 environments
Practical knowledge of SOC 2 Trust Service Criteria
Understanding of ISO 27701 privacy extensions
Familiarity with ISO 27017 cloud security controls
Ability to map technical findings to control frameworks

Communication & Documentation

Ability to produce clear, structured, audit-friendly documentation
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Who You Are

Systems thinker
Curious and adversarial in mindset
Comfortable identifying uncomfortable truths
Autonomous and fast-moving
Enterprise-aware, not just technically strong
Able to operate independently under executive leadership

You understand that security is about both breaking systems and integrating findings into operational and compliance posture.

Comprehensive Private Medical Coverage
Support for Mental Health Expenses
Life Insurance Options
Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Systems thinker

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 RAG SOC 2 ISO 27701 ISO 27017

Pharmacist and Chain Pharmacy Operations Expert - AI Evaluation Project

Full Time

$80,000 - $160,000*

2 months ago

Worldwide

Senior

Pharmacy

Retail Operations

Customer Service

+5 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for experienced retail and pharmacy domain professionals to help create realistic, profession-based prompts and tasks used to evaluate advanced AI models.

In this role, you will design real-world scenarios based on actual workflows in retail operations, pharmacy environments, and customer-facing service roles. These prompts will be used to test how well AI systems perform in day-to-day professional situations.

This role is ideal for professionals with hands-on experience in retail, pharmacy, store operations, or customer-facing environments who understand real operational workflows and decision-making processes.

Commitments Required: 8 hours per day with an overlap of 4 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 4 weeks

Location: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana

Selection process: Online test related to AI Prompt Creation

What You’ll Do

Create realistic, first-person prompts based on real job workflows
Design tasks that reflect real-world retail, pharmacy, and customer-service scenarios
Use relevant public data, product information, prescriptions, inventory lists, or documents as input material
Ensure prompts are clear, structured, and aligned with real occupational responsibilities
Review and refine tasks to ensure accuracy, realism, and completeness
Follow structured guidelines for prompt writing and evaluation
Collaborate with remote teams working on AI training and evaluation projects

5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
For pharmacist profiles: Pharmacy degree and license (where applicable)
Strong understanding of real-world retail or pharmacy workflows
Ability to translate real job situations into clear, structured written instructions
Strong analytical, organizational, and communication skills
Attention to detail when writing and reviewing task descriptions
Comfortable working with guidelines and following structured formats
Good written English communication skills
Experience in retail operations, pharmacy, customer service, or store management is strongly preferred

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
Pharmacy degree and license (where applicable)
Strong understanding of real-world retail or pharmacy workflows
Ability to translate real job situations into clear, structured written instructions
Strong analytical, organizational, and communication skills
Attention to detail when writing and reviewing task descriptions
Comfortable working with guidelines and following structured formats

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget
Professional Development
Training Budget
Wellness Programs

Skills

Pharmacy Retail Operations Customer Service AI Machine Learning Data Science Python English

Pharmacist and Chain Pharmacy Operations Expert - AI Evaluation Project

Full Time

$80,000 - $160,000*

2 months ago

Worldwide

Senior

Pharmacy

Retail Operations

Customer Service

+5 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for experienced retail and pharmacy domain professionals to help create realistic, profession-based prompts and tasks used to evaluate advanced AI models.

In this role, you will design real-world scenarios based on actual workflows in retail operations, pharmacy environments, and customer-facing service roles. These prompts will be used to test how well AI systems perform in day-to-day professional situations.

This role is ideal for professionals with hands-on experience in retail, pharmacy, store operations, or customer-facing environments who understand real operational workflows and decision-making processes.

Commitments Required: 8 hours per day with an overlap of 4 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 4 weeks

Location: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana

Selection process: Online test related to AI Prompt Creation

What You’ll Do

Create realistic, first-person prompts based on real job workflows
Design tasks that reflect real-world retail, pharmacy, and customer-service scenarios
Use relevant public data, product information, prescriptions, inventory lists, or documents as input material
Ensure prompts are clear, structured, and aligned with real occupational responsibilities
Review and refine tasks to ensure accuracy, realism, and completeness
Follow structured guidelines for prompt writing and evaluation
Collaborate with remote teams working on AI training and evaluation projects

5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
For pharmacist profiles: Pharmacy degree and license (where applicable)
Strong understanding of real-world retail or pharmacy workflows
Ability to translate real job situations into clear, structured written instructions
Strong analytical, organizational, and communication skills
Attention to detail when writing and reviewing task descriptions
Comfortable working with guidelines and following structured formats
Good written English communication skills
Experience in retail operations, pharmacy, customer service, or store management is strongly preferred

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
Pharmacy degree and license (where applicable)
Strong understanding of real-world retail or pharmacy workflows
Ability to translate real job situations into clear, structured written instructions
Strong analytical, organizational, and communication skills
Attention to detail when writing and reviewing task descriptions
Comfortable working with guidelines and following structured formats

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget
Professional Development
Training Budget
Wellness Programs

Skills

Pharmacy Retail Operations Customer Service AI Machine Learning Data Science Python English

Pharmacist and Chain Pharmacy Operations Expert - AI Evaluation Project

Full Time

$80,000 - $160,000*

2 months ago

Worldwide

Senior

AI

Machine Learning

Data Science

+5 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for experienced retail and pharmacy domain professionals to help create realistic, profession-based prompts and tasks used to evaluate advanced AI models.

In this role, you will design real-world scenarios based on actual workflows in retail operations, pharmacy environments, and customer-facing service roles. These prompts will be used to test how well AI systems perform in day-to-day professional situations.

This role is ideal for professionals with hands-on experience in retail, pharmacy, store operations, or customer-facing environments who understand real operational workflows and decision-making processes.

Commitments Required: 8 hours per day with an overlap of 4 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 4 weeks

Location: India, Pakistan, Bangladesh, Turkey, Nigeria, Ghana

Selection process: Online test related to AI Prompt Creation

What You’ll Do

Create realistic, first-person prompts based on real job workflows
Design tasks that reflect real-world retail, pharmacy, and customer-service scenarios
Use relevant public data, product information, prescriptions, inventory lists, or documents as input material
Ensure prompts are clear, structured, and aligned with real occupational responsibilities
Review and refine tasks to ensure accuracy, realism, and completeness
Follow structured guidelines for prompt writing and evaluation
Collaborate with remote teams working on AI training and evaluation projects

5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
For pharmacist profiles: Pharmacy degree and license (where applicable)
Strong understanding of real-world retail or pharmacy workflows
Ability to translate real job situations into clear, structured written instructions
Strong analytical, organizational, and communication skills
Attention to detail when writing and reviewing task descriptions
Comfortable working with guidelines and following structured formats
Good written English communication skills
Experience in retail operations, pharmacy, customer service, or store management is strongly preferred

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

5+ years of professional experience in retail, pharmacy, store operations, or customer-facing service roles
Degree in Business, Pharmacy, Management, Healthcare, or related field preferred
Pharmacy degree and license (where applicable)
Strong understanding of real-world retail or pharmacy workflows
Ability to translate real job situations into clear, structured written instructions
Strong analytical, organizational, and communication skills
Attention to detail when writing and reviewing task descriptions
Comfortable working with guidelines and following structured formats

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget
Professional Development
Training Budget
Wellness Programs

Skills

AI Machine Learning Data Science Python English Pharmacy Retail Operations Customer Service

Enterprise AI Security Engineer - Mercari

Full Time

$120,000 - $180,000*

3 months ago

Worldwide

Japan

Senior

Python

Risk Assessment

Zero Trust Architecture

+4 more

Job Description

本ポジションは日本語JDの用意がありません。

Enterprise AI Security Engineer - Mercari

Employment Status:　Full-time
Work Hours: Full Flextime (no core time)
Office: Roppongi

For more details, see the Overview of Our Positions section on our Careers site.

About Mercari

Circulate all forms of value to unleash the potential in all people

"What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential. For more information about Mercari Group’s mission, see Mercari’s Culture Doc

Organization/Team Mission

Mercari Engineering Principles

Mercari Engineering Principles are a shared understanding that serves as the foundation of engineering beliefs and behavior at Mercari. The Engineering Principles are designed to complement the organizational identity (Mercari’s mission, values, and culture) from an engineering viewpoint.

These principles ultimately help us achieve Mercari’s mission by defining the ideal state we seek to realize in the long term.

Passion For The Product
Grow Together
Solve Through Mechanisms
Collaborate Openly

For more details, please see the following link:

Engineering Culture

See here for more information about our mission and values.

Work Responsibilities

As an Enterprise AI Security Engineer at Mercari, you will be engaged in building out the core controls to support securing a dynamic and AI centric work environment. A key focus will be on securing internal AI agent platforms and solutions together with implementers. You will collaborate closely with the AI Taskforce, engineering, and IT teams to design and deploy secure foundations that meet stringent security requirements while maintaining minimal user friction. A major part of your strategic contribution will be the implementation of a zero-trust architecture to significantly enhance our overall security posture.

We embrace the "security as code" philosophy, meaning successful candidates are expected to automate and optimize security solutions to achieve a "secure by default" enterprise IT infrastructure. We are seeking passionate automation advocates for this role.

Unique Challenges

Security Frameworks and Assessments:

Develop and implement security frameworks for enterprise IT solutions and AI agents.
Conduct risk assessments and threat modeling for enterprise IT and AI systems to identify and mitigate potential vulnerabilities.
Design and implement technical security solutions and mitigation strategies to ensure the protection and resilience of Mercari’s IT infrastructure and internal AI agent platforms.

Automation and Optimization:

Automate manual processes and operational tasks across security systems.
Focus on optimizing configurations for Identity and Access Management (IAM), Endpoint Security, AI agent platforms, and Data Loss Prevention (DLP) systems.

Standards and Partnership:

Establish and maintain security standards and guidelines for AI solutions and infrastructure.
Collaborate with engineering and IT teams to secure enterprise IT systems and protect against new and evolving threats.

Qualifications

Required Experience/Skills

Bachelor's degree or equivalent practical experience in core cybersecurity domains related to IT.
Understanding and ability to explain and apply core computer security concepts such as the CIA triad, principle of least privilege, authentication vs. authorization, etc.
Experience in programming with one or more languages, including but not limited to Go, Python, or JavaScript.
Familiarity with standard software development tools, such as Git, CI/CD tools, IaC, and shell scripting.
Basic understanding of core AI security principles (OWASP AI/LLM Top Ten).
Proficiency using AI tools for day to day productivity and to accelerate dashboarding and reporting.
Proficiency in modern Identity and Access Management (IAM) systems, like Okta, Microsoft Entra ID..
Strong teamwork skills and the ability to collaborate with others in a diverse environment.

Preferred Experience/Skills

Experience working as a security architect or IT architect.
Deep understanding of AI agent mechanisms, vulnerabilities, and attack methodologies.
Experience in securing AI agent frameworks..
Experience in managing Non-Human Identity (NHI) tools.
Expertise in the security of cloud platforms (e.g., GCP, AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems.
Experience building, administrating, and improving IT security solutions (IAM, MDM, EDR, DLP, etc.)
Familiarity with frameworks such as NIST AI Risk Management and Google’s Secure AI Framework, and OWASP Top 10 For Agentic Applications.
Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks.
Ability to effectively present and communicate security threats and risks to any audience and impress upon them the mitigation techniques and strategies

Language

Japanese: Bonus to have
English: Independent (CEFR-B2)

For details about CEFR, see here.

Learn More About Mercari Group

Careers site: https://careers.mercari.com/en/
Mercan: https://mercan.mercari.com/en/
Social media: X / Linkedin
How Mercari’s AI Security Team is Securing AI Native
Removing GitHub PATs and Private Keys From Google Cloud: Extending Token Server to Google Cloud
When Caching Hides the Truth: A VPC Service Controls & Artifact Registry Tale
How to bypass GitHub’s Branch Protection
Streamlining Security Incident Response with Automation and Large Language Models | Mercari Engineering
An Introduction to Reverse Engineering for eBPF Bytecode
Who Watches the Watchmen? Keeping an Eye on Our Monitoring Systems
Detection Engineering and SOAR at Mercari
Mercari Appoints Naohisa Ichihara as New CISO: Making a Mark in History with the Goal of Establishing the World’s Most Secure Marketplace
Going Beyond Diverse to Become Borderless: The Culture of Mercari’s Security & Privacy Team
Security | Mercari Engineering blog
Security/Privacy | mercan

Recruiting at Mercari

At Mercari Group, we value empathizing with and embodying the mission and values of the Group and each company. To promote the creation of an organization that maximizes the total amount of value exhibited by all members, we would like to understand the experience and skills of each candidate as accurately as possible.

Recruiting cycle at Mercari Group

Application screening
Skill assessment: For engineering positions, you will be asked to complete a skill assessment on HackerRank or GitHub. For non-engineering positions, you may be asked to complete an assessment depending on the position. (The timing of the assessment may coincide with the interview process.)
Interview: The number of interviews may vary depending on the position.
Reference check: We will ask for online references around the timing of the final interview.
Offer: Offers will be determined carefully in consideration of the final interview and the reference check.

　Learn more about our recruiting process here.

Equal Opportunity Hiring

Here at Mercari, we work to realize a world in which no one’s potential is limited by their background and everyone has the opportunity to freely create value. We also firmly believe that a mindset of Inclusion & Diversity is essential for us to achieve our mission.

This, of course, extends to our hiring practices as well. Mercari is committed to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, and other such factors so that anyone who shares our mission and values can join us, regardless of their background. For more details, please read our I&D statement.

Please read and acknowledge our Privacy Policy prior to submitting your application.

Requirements

Develop and implement security frameworks for enterprise IT solutions and AI agents
Conduct risk assessments and threat modeling for enterprise IT and AI systems
Design and implement technical security solutions and mitigation strategies
Automate security solutions to achieve a 'secure by default' enterprise IT infrastructure
Collaborate closely with the AI Taskforce, engineering, and IT teams

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Python Risk Assessment Zero Trust Architecture Automation Cloud Security Security frameworks Threat modeling

VP of Delivery, AI Governance

Full Time

$150,000 - $250,000*

3 months ago

Canada

Worldwide

Executive

AI Governance

Machine Learning

DevOps

+4 more

Job Description

Role: VP of Delivery, AI Governance

Company: iTmethods, https://www.itmethods.com

Reports to: CEO / Founder

Location: Remote (Canada)

Type: Full-time / Permanent

Travel: Up to 20%-25%

Compensation: Competitive base salary, plus annual performance bonus and equity

About iTmethods

iTmethods is a 20+ year enterprise technology company transforming into an AI-native platform company. We currently serve over 100 enterprise customers across multiple regulated industries. We are building an AI Governance product needed by enterprise companies in regulated industries such as financial services, defense, pharma, healthcare, and semiconductors, etc.

iTmethods' Platform consists of three main products:

Reign - Enterprise AI Governance Platform. Real-time policy enforcement for every LLM call and AI agent interaction. Trust, compliance, and data sovereignty.**
Forge - DevOps managed services platform for regulated enterprises.
BioCompute - Life Sciences AI platform for pharma and biotech.

**The EU AI Act high-risk obligations take effect in August, 2026. Enterprises need production-grade AI governance now. Reign delivers true runtime policy enforcement and AI governance.

Role

We are looking for an experienced professional to lead customer delivery of AI Governance solutions to enterprise clients in multiple regulated industries. We are building an outcome-based delivery model. This is not a traditional professional services leadership role. The person in this role will architect an outcome-based delivery model from scratch.

You’ll act as a builder, and the head of the delivery function with ability to scale in the AI-native organization we are creating. The role requires the flexibility to lead an existing team of of delivery professionals, while simultaneously architecting the new delivery model (embedded, outcome-based, value-priced) that includes measurable business results for regulated enterprises adopting governed AI and modern DevOps solutions. This role will shape how iTmethods’ platform is delivered to customers and how value is measured, priced, and captured. iTmethods has a startup mindset, backed by over 20 years of operating credibility, and strong enterprise customer relationships.

The work you will do at iTmethods will be high impact and will directly shape the company’s trajectory and future. This is a foundational hire, not a backfill. The compensation package reflects that, including equity participation structured for value creation.

Your first 90 days will include: stand up delivery playbooks for the Enterprise AI Governance Platform including onboarding frameworks, success metrics, and value pricing. Work closely with the CRO to close enterprise customers. Manage and evolve the existing professional services business. Start building a high performance team.

Responsibilities

Build & Lead the AI Governance Delivery Practice

Design the end-to-end AI Governance Platform delivery model: engagement structure, onboarding playbooks, embedded deployment, escalation paths, and success metrics
Build delivery capabilities across the product roadmap (AI Gateway, MCP Hub, Governance Platform)
Design value pricing frameworks that quantify governed AI outcomes in terms that enterprise buyers understand
Develop reference architectures, maturity assessments, and trust frameworks that become repeatable, sellable IP
Build MCP and agent-to-agent (A2A) governance delivery capabilities as new product modules launch
Translate compliance requirements into scalable delivery IP: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR
Recruit and develop AI governance delivery specialists

Manage & Evolve Existing Services Function

Own the existing professional services portfolio (both one-time engagements and recurring revenue) ensuring delivery quality and client satisfaction
Transition existing enterprise customers onto new product modules as they launch
Maintain the financial discipline of a bootstrapped company: forecasting, margin management, and resource planning

Enterprise Sales

Co-lead (with the CRO) enterprise sales conversations with CISOs, Chief AI Officers, and CFOs
Articulate the governed AI value proposition and close value-priced engagements
Drive expansion and renewal through embedded delivery that creates measurable customer value
Shape go-to-market strategy for outcome-based delivery alongside the CRO and CTO

Build and AI-Native Culture

Operate as an AI-native leader - using AI tools daily to amplify output, decision-making, and team productivity
Recruit, develop, and retain team members who create with AI, not just manage AI projects
Push AI-native operating norms throughout the delivery organization

You Have:

Designed and built an outcome-based, value-priced, or embedded delivery model - not just managed T&M or fixed-fee engagements
Experience with AI Governance - your prior work experience could include: a Big 4 AI risk practice, an AI governance position at a regulated enterprise, a role at an AI GRC platform/technology company, or a Responsible AI function at a Hyperscaler
AI-native work habits: you use Claude, Cursor, Copilot, or similar tools daily and can show real examples (ie. prototypes, automations, workflows) you have personally built
Regulated industry experience in 1 or more of the following industries: financial services, pharma/life sciences, defense, healthcare, or semiconductors
Familiarity with compliance frameworks: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR
Enterprise sales chops - you can lead conversations with CISOs and CFOs, and assist to close large engagements

Nice To Have:

Understanding of the EU AI Act high-risk obligations and how governance platforms automate compliance
Experience with runtime AI governance, API gateway architectures, or network-layer policy enforcement
Familiarity with MCP (Model Context Protocol) or agent-to-agent governance patterns
Led a business model transformation in a prior role
Built something from zero inside an established company (ie. a new function, product, or business line)
DevOps, platform engineering, or infrastructure background

You Are:

A builder - your first instinct is to create, prototype, and iterate, not to reach for process and structure
Strategic but hands-on - you can roll up your sleeves
Scrappy - you move fast, operate in ambiguity, and don’t wait for perfect information
Obsessed with customer outcomes
Comfortable in a startup/scale-up environment

The company offers multiple benefits, including the following:

Strong compensation package (base salary, annual performance bonus, equity)
Extended health/dental benefits plan
Learning budget for professional development
Remote/Hybrid work model

iTmethods is an equal opportunity employer. Diversity and innovation go hand-in-hand here. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Vacancy Status: This job posting is for an existing vacancy

AI Disclosure: iTmethods uses artificial intelligence (AI) tools to assist in the screening and assessment of applications

Requirements

Lead customer delivery of AI Governance solutions to enterprise clients
Architect an outcome-based delivery model from scratch
Manage and evolve the existing professional services business
Build a high performance team
Work closely with the CRO to close enterprise customers
Design the end-to-end AI Governance Platform delivery model
Develop onboarding frameworks, success metrics, and value pricing

Benefits

Performance Bonus
Equity
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Remote Work

Skills

AI Governance Machine Learning DevOps Cloud Computing Policy Enforcement Compliance Data Sovereignty

VP of Delivery, AI Governance

Full Time

$150,000 - $250,000*

3 months ago

Worldwide

Executive

AI Governance

Machine Learning

DevOps

+4 more

Job Description

Role: VP of Delivery, AI Governance

Company: iTmethods, https://www.itmethods.com

Reports to: CEO / Founder

Location: Remote (US)

Type: Full-time / Permanent

Travel: Up to 20%-25%

Compensation: Competitive base salary, plus annual performance bonus and equity

About iTmethods

iTmethods is a 20+ year enterprise technology company transforming into an AI-native platform company. We currently serve over 100 enterprise customers across multiple regulated industries. We are building an AI Governance product needed by enterprise companies in regulated industries such as financial services, defense, pharma, healthcare, and semiconductors, etc.

iTmethods' Platform consists of three main products:

Reign - Enterprise AI Governance Platform. Real-time policy enforcement for every LLM call and AI agent interaction. Trust, compliance, and data sovereignty.**
Forge - DevOps managed services platform for regulated enterprises.
BioCompute - Life Sciences AI platform for pharma and biotech.

**The EU AI Act high-risk obligations take effect in August, 2026. Enterprises need production-grade AI governance now. Reign delivers true runtime policy enforcement and AI governance.

Role

We are looking for an experienced professional to lead customer delivery of AI Governance solutions to enterprise clients in multiple regulated industries. We are building an outcome-based delivery model. This is not a traditional professional services leadership role. The person in this role will architect an outcome-based delivery model from scratch.

You’ll act as a builder, and the head of the delivery function with ability to scale in the AI-native organization we are creating. The role requires the flexibility to lead an existing team of of delivery professionals, while simultaneously architecting the new delivery model (embedded, outcome-based, value-priced) that includes measurable business results for regulated enterprises adopting governed AI and modern DevOps solutions. This role will shape how iTmethods’ platform is delivered to customers and how value is measured, priced, and captured. iTmethods has a startup mindset, backed by over 20 years of operating credibility, and strong enterprise customer relationships.

The work you will do at iTmethods will be high impact and will directly shape the company’s trajectory and future. This is a foundational hire, not a backfill. The compensation package reflects that, including equity participation structured for value creation.

Your first 90 days will include: stand up delivery playbooks for the Enterprise AI Governance Platform including onboarding frameworks, success metrics, and value pricing. Work closely with the CRO to close enterprise customers. Manage and evolve the existing professional services business. Start building a high performance team.

Responsibilities

Build & Lead the AI Governance Delivery Practice

Design the end-to-end AI Governance Platform delivery model: engagement structure, onboarding playbooks, embedded deployment, escalation paths, and success metrics
Build delivery capabilities across the product roadmap (AI Gateway, MCP Hub, Governance Platform)
Design value pricing frameworks that quantify governed AI outcomes in terms that enterprise buyers understand
Develop reference architectures, maturity assessments, and trust frameworks that become repeatable, sellable IP
Build MCP and agent-to-agent (A2A) governance delivery capabilities as new product modules launch
Translate compliance requirements into scalable delivery IP: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR
Recruit and develop AI governance delivery specialists

Manage & Evolve Existing Services Function

Own the existing professional services portfolio (both one-time engagements and recurring revenue) ensuring delivery quality and client satisfaction
Transition existing enterprise customers onto new product modules as they launch
Maintain the financial discipline of a bootstrapped company: forecasting, margin management, and resource planning

Enterprise Sales

Co-lead (with the CRO) enterprise sales conversations with CISOs, Chief AI Officers, and CFOs
Articulate the governed AI value proposition and close value-priced engagements
Drive expansion and renewal through embedded delivery that creates measurable customer value
Shape go-to-market strategy for outcome-based delivery alongside the CRO and CTO

Build and AI-Native Culture

Operate as an AI-native leader - using AI tools daily to amplify output, decision-making, and team productivity
Recruit, develop, and retain team members who create with AI, not just manage AI projects
Push AI-native operating norms throughout the delivery organization

You Have:

Designed and built an outcome-based, value-priced, or embedded delivery model - not just managed T&M or fixed-fee engagements
Experience with AI Governance - your prior work experience could include: a Big 4 AI risk practice, an AI governance position at a regulated enterprise, a role at an AI GRC platform/technology company, or a Responsible AI function at a Hyperscaler
AI-native work habits: you use Claude, Cursor, Copilot, or similar tools daily and can show real examples (ie. prototypes, automations, workflows) you have personally built
Regulated industry experience in 1 or more of the following industries: financial services, pharma/life sciences, defense, healthcare, or semiconductors
Familiarity with compliance frameworks: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR
Enterprise sales chops - you can lead conversations with CISOs and CFOs, and assist to close large engagements

Nice To Have:

Understanding of the EU AI Act high-risk obligations and how governance platforms automate compliance
Experience with runtime AI governance, API gateway architectures, or network-layer policy enforcement
Familiarity with MCP (Model Context Protocol) or agent-to-agent governance patterns
Led a business model transformation in a prior role
Built something from zero inside an established company (ie. a new function, product, or business line)
DevOps, platform engineering, or infrastructure background

You Are:

A builder - your first instinct is to create, prototype, and iterate, not to reach for process and structure
Strategic but hands-on - you can roll up your sleeves
Scrappy - you move fast, operate in ambiguity, and don’t wait for perfect information
Obsessed with customer outcomes
Comfortable in a startup/scale-up environment

The company offers multiple benefits, including the following:

Strong compensation package (base salary, annual performance bonus, equity)
Extended health/dental benefits plan
Learning budget for professional development
Remote/Hybrid work model

iTmethods is an equal opportunity employer. Diversity and innovation go hand-in-hand here. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Vacancy Status: This job posting is for an existing vacancy

AI Disclosure: iTmethods uses artificial intelligence (AI) tools to assist in the screening and assessment of applications

Requirements

Lead customer delivery of AI Governance solutions
Architect an outcome-based delivery model
Manage and evolve the existing professional services business
Build a high performance team
Work closely with the CRO to close enterprise customers
Design the end-to-end AI Governance Platform delivery model
Develop onboarding frameworks, success metrics, and value pricing

Benefits

Equity
Performance Bonus
Flexible Hours
Remote Work
Wellness Programs
401k Matching
Health Insurance

Skills

AI Governance Machine Learning DevOps Cloud Computing Compliance Policy Enforcement Data Sovereignty

Business Analyst with AI evaluation skills

Full Time

$60,000 - $100,000*

3 months ago

India

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

3 months ago

Worldwide

AI

Mid

Git

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Skills

Git

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Benefits

Remote Work
Flexible Hours
Home Office Budget
Internet Stipend
Learning Budget

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

AI Security Personnel

Full Time

$120,000 - $180,000*

3 months ago

Worldwide

Senior

Machine Learning

PyTorch

TensorFlow

+4 more

Job Description

Secure machine learning and AI systems from design and development through deployment and operation. This role sits within cybersecurity, working with data science, engineering, and IT governance teams to ensure AI systems are resilient, trustworthy, and compliant with internal standards and external regulations, translating emerging AI risks into practical, scalable security controls.

Key Responsibilities

Identify, assess, and mitigate security risks across AI/ML pipelines, including data ingestion, model training, deployment, and inference.
Implement controls to protect against AI-specific threats such as data poisoning, model theft, prompt injection, adversarial inputs, and model inversion.
Support secure deployment of AI models in cloud, containerized, and API-based environments.
Assist in securing third-party and open-source models, frameworks, and datasets.
Contribute to AI security risk assessments, threat models, and control mappings.
Support the development and enforcement of AI security standards, guardrails, and secure-by-design patterns.
Align AI security practices with broader enterprise risk, privacy, and compliance requirements (e.g., ISO 27001, NIST, GDPR, emerging AI regulations).
Participate in AI governance forums and provide security input to model approval and review processes.
Help define logging, monitoring, and alerting requirements for AI systems.
Support investigation and response to AI-related security incidents or misuse.
Track vulnerabilities and emerging threats related to AI platforms and tooling.
Work with data scientists and engineers to embed security into AI development workflows and CI/CD pipelines.
Provide guidance on secure data handling, model access controls, and secrets management.
Contribute to internal training, documentation, and awareness around AI security risks and best practices.
Stay current with evolving AI threats, attack techniques, and defensive controls.
Evaluate AI security tools and capabilities, making recommendations for improvement.
Contribute to the organization’s longer-term AI security roadmap.
Perform other responsibilities as assigned by the Head, Security Technology & Engineering

Required Knowledge, Skills and Abilities:

Experience in cybersecurity, cloud security, application security, or data security roles.
Working knowledge of machine learning concepts and AI system architectures.
Understanding of common AI/ML security risks and threat models.
Hands-on experience with ML frameworks or platforms (e.g., PyTorch, TensorFlow, SageMaker, Azure ML).
Experience securing APIs, cloud services, containers, or MLOps platforms.
Ability to communicate security risks clearly to technical and non-technical stakeholders
Familiarity with data governance, privacy engineering, or responsible AI principles.
Experience with threat modeling techniques (e.g., STRIDE) applied to AI systems.
Strong troubleshooting, documentation, and communication skills

Qualification & Experience

Mandatory

Bachelor’s degree in Computer Science, Information Security, or a related field
Scripting or automation skills (e.g., Python).
Certifications such as CISSP, CCSP, Security+, or emerging AI/security credentials

Desirable

Cloud security certifications (e.g., AWS Security Specialty, Azure Security Engineer)

Only shortlisted candidates will be contacted.

Requirements

Experience in cybersecurity, cloud security, application security, or data security roles.
Working knowledge of machine learning concepts and AI system architectures.
Understanding of common AI/ML security risks and threat models.
Hands-on experience with ML frameworks or platforms.
Ability to communicate security risks clearly to technical and non-technical stakeholders

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

Machine Learning PyTorch TensorFlow API Security Cloud Security SageMaker Azure ML

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: Argentina, Brazil, Peru, Colombia, Chile, Mexico

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively
Comfortable working with evaluation frameworks, comparisons, and structured analysis
Previous experience with evaluation, annotation, QA, or audit-type work

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: Argentina, Brazil, Peru, Colombia, Chile, Mexico

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: Argentina, Brazil, Peru, Colombia, Chile, Mexico

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: Argentina, Brazil, Peru, Colombia, Chile, Mexico

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: Argentina, Brazil, Peru, Colombia, Chile, Mexico

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively
Comfortable working with evaluation frameworks, comparisons, and structured analysis
Previous experience with evaluation, annotation, QA, or audit-type work

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$80,000 - $120,000*

3 months ago

Worldwide

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: Argentina, Brazil, Peru, Colombia, Chile, Mexico

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$60,000 - $100,000*

3 months ago

India

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$60,000 - $100,000*

3 months ago

India

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$60,000 - $100,000*

3 months ago

India

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$60,000 - $100,000*

3 months ago

India

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

Business Analyst with AI evaluation skills

Full Time

$60,000 - $100,000*

3 months ago

India

Mid

AI

Machine Learning

Browser Extensions

+2 more

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a detail-oriented Business Analyst to support evaluation and annotation workflows focused on quality, accuracy, and structured reasoning. This role is ideal for someone who is comfortable working with digital tools, performing side-by-side evaluations, and providing clear, well-supported justifications based on fact-checking.

What You’ll Do

Perform side-by-side (SxS) evaluations on GHD, comparing outputs and assessing quality, accuracy, and relevance.
Conduct fact-checking to validate information and identify inconsistencies or inaccuracies.
Provide detailed, well-structured justifications to support evaluation decisions.
Follow established evaluation guidelines and quality standards consistently.
Use browser-based tools and extensions to support analysis and review tasks.
Execute simple command-line instructions when required to support evaluation workflows.
Document findings clearly and communicate insights to stakeholders when needed.

Commitments Required: 6-8 hours per day with an overlap of 3 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana

Selection process: 60 min technical test (comparing AI outputs)

Solid comfort using a computer in a professional setting.
Experience working with browser extensions and online tools.
Ability to run basic command-line commands (no advanced programming required).
Strong analytical and critical thinking skills.
High attention to detail and ability to justify decisions clearly and objectively.
Comfortable working with evaluation frameworks, comparisons, and structured analysis.
Previous experience with evaluation, annotation, QA, or audit-type work.
Familiarity with data quality, content evaluation, or model/output assessments.
Good written communication skills in English.

Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading Tech companies.

Requirements

6-8 hours per day with an overlap of 3 hours with PST
Solid comfort using a computer in a professional setting
Experience working with browser extensions and online tools
Ability to run basic command-line commands
Strong analytical and critical thinking skills
High attention to detail and ability to justify decisions clearly and objectively

Skills

AI Machine Learning Browser Extensions Online Tools Command-Line Instructions

AI Risk & Responsible AI Specialist

Full Time

$120,000 - $180,000*

3 months ago

Worldwide

Senior

Python

Model evaluation frameworks

Bias detection methodologies

+5 more

Job Description

The Opportunity We are building a dedicated AI Red Team to rigorously test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. Security testing is only part of enterprise AI assurance. We are seeking an AI Risk & Responsible AI Lead to design and operationalize structured evaluation frameworks across safety, bias, robustness, explainability, and data governance. This role ensures our AI systems are secure, trustworthy, measurable, and enterprise-ready. What You’ll Do Design and implement model evaluation frameworks across AI products Develop methodologies for: Bias and fairness testing Hallucination and reliability assessment Robustness and stress testing Safety benchmarking Evaluate training data governance practices Review RAG systems for retrieval accuracy and exposure risks Establish measurable risk metrics across AI deployments Align evaluation outputs with: NIST AI Risk Management Framework ISO 27701 privacy requirements Enterprise governance standards Produce structured, executive-ready documentation Partner with product and engineering teams to integrate risk mitigation strategies This role bridges AI engineering, governance, risk quantification and enterprise accountability. What We’re Looking For Core AI Evaluation Expertise Experience designing model evaluation frameworks Familiarity with bias detection methodologies Understanding of hallucination testing and reliability measurement Experience stress-testing LLM-based systems Strong Python and experimentation capabilities Governance & Risk Fluency Knowledge of NIST AI RMF Familiarity with privacy-by-design principles Experience operating within ISO 27001 / SOC 2 environments Understanding of enterprise AI risk posture expectations Analytical & Communication Strength Ability to translate model risk into business impact Strong documentation skills Comfortable presenting findings to executive audiences Systems-thinking mindset Who You Are Structured and methodical Deeply curious about model behavior Pragmatic about risk Comfortable challenging assumptions Independent and decisive Able to operate at executive altitude without losing technical depth You understand that AI risk is not just about being hacked — it’s about predictability, fairness, resilience, and trust. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Design and implement model evaluation frameworks across AI products
Develop methodologies for bias and fairness testing
Evaluate training data governance practices
Review RAG systems for retrieval accuracy and exposure risks
Establish measurable risk metrics across AI deployments
Align evaluation outputs with NIST AI Risk Management Framework and ISO 27701 privacy requirements
Produce structured, executive-ready documentation
Partner with product and engineering teams to integrate risk mitigation strategies

Benefits

Life Insurance

Skills

Python Model evaluation frameworks Bias detection methodologies Hallucination testing Reliability measurement Stress-testing LLM-based systems NIST AI RMF ISO 27001 / SOC 2 environments

AI Risk & Responsible AI Specialist

Full Time

$120,000 - $180,000*

3 months ago

Worldwide