AI Governance &amp; Data Privacy General Counsel at Honeywell

Full Time

$120,000 - $180,000*

1 day ago

United Kingdom

Worldwide

Senior

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

Principal Software Engineer, Identity & AI Governance

GitHub, Inc.

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Java

Python

Spring

+5 more

Job Description

About GitHub GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview GitHub is seeking a Principal Software Engineer to shape the future of identity and enterprise AI governance across its platform. Identity is a critical foundation for GitHub’s agentic AI ecosystem, enabling secure interactions between users, applications, and AI agents. As AI adoption scales, systems must support trust, authorization, delegation, and policy enforcement at a global scale. In this role, you will lead the architecture of Tier-0 identity and governance services powering authentication, authorization, and policy enforcement for GitHub’s ecosystem. These systems must operate with the highest standards of security, reliability, and scalability, serving billions of requests daily. You will partner across Security, Platform, AI, and Product teams to define strategy, drive architecture, and build the identity and governance control plane for GitHub’s AI-powered future. Responsibilities Lead and influence design discussions for the overall system architecture of complex products and solutions, ensuring they meet security and compliance requirements. Establish and mentor others in best practices for testing and assuring the quality of solutions, defining success metrics, and producing maintainable code integrated with downstream dependencies. Provide technical leadership during code reviews to ensure solutions meet quality standards, are reliable, and are appropriate for the scale of the product feature. Partner with stakeholders such as project managers and technical leads to determine requirements for services or complex scenarios, leveraging feedback channels to incorporate insights into future designs. Act as an expert on debugging tools and methods, leading proactive and reactive code development to verify assumptions and resolve issues across products and teams. Optimize deployments across products to meet business objectives, ensuring solutions are deployed safely and adhere to GitHub's deployment standards. Lead efforts to improve development quality and team performance by driving the execution of strategies for developer tooling and automation, sharing best practices, and mentoring others in new tools and strategies. Lead the refinement of products through complex data analytics, making informed decisions to enhance engineering products and integrate data-driven insights into the development process. Develop and implement strategies for identifying and mitigating technical risks across projects and products. This includes establishing frameworks for assessing potential risks and creating contingency plans to address them proactively. Qualifications Required Qualifications 11+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 10+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, OR Bachelor's Degree in Computer Science or related field AND 9+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 7+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, OR PhD Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, OR equivalent experience. Preferred Qualifications: Experience building or operating enterprise AI governance platforms, including policy systems, compliance frameworks, and control planes Experience designing and implementing identity systems such as authentication services, authorization frameworks, and identity federation Familiarity with identity protocols such as OAuth, OIDC, SAML, and SCIM Experience with agentic or AI-driven architectures, including systems involving models, agents, or AI APIs Strong understanding of enterprise security, compliance, and risk management requirements Experience operating cloud-native systems in environments such as Azure, Kubernetes, or AKS Compensation Range The base salary range for this job is USD $160,200.00 - USD $425,000.00 /Yr. These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. GitHub values Customer-obsessed Ship to learn Growth mindset Own the outcome Better together Diverse and inclusive Manager fundamentals Model Coach Care Leadership principles Create clarity Generate energy Deliver success Who We Are GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms. Join us, and let’s change the world, together. EEO Statement GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Requirements

Lead and influence design discussions for the overall system architecture of complex products and solutions
Establish and mentor others in best practices for testing and assuring the quality of solutions
Provide technical leadership during code reviews to ensure solutions meet quality standards
Partner with stakeholders such as project managers and technical leads to determine requirements for services or complex scenarios
Act as an expert on debugging tools and methods, leading proactive and reactive code development to verify assumptions and resolve issues across products and teams
Optimize deployments across products to meet business objectives, ensuring solutions are deployed safely and adhere to GitHub's deployment standards
Lead efforts to improve development quality and team performance by driving the execution of strategies for developer tooling and automation
Develop and implement strategies for identifying and mitigating technical risks across projects and products

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Remote Work

Skills

Java Python Spring Kubernetes Docker AWS Azure GCP

AI Data Scientist / AI Evaluation Specialist

Zensar

Full Time

1 day ago

United States

Senior

Python

Git

Job Description

Key Responsibilities • Create and curate high‑quality datasets (structured & unstructured) for AI/LLM training • Generate synthetic data, prompts, and “golden answers” • Evaluate AI‑generated outputs for quality, logic, and accuracy • Review and improve evaluation rubrics and scoring criteria • Rebuild and validate Python/Colab notebooks for data science problems • Assess model‑generated code across multiple programming languages • Review dashboards and data visualizations for correctness and insights Required Skills • Strong proficiency in Python (pandas, numpy, Jupyter/Colab) • Solid foundation in Data Science, ML, and Statistics • Experience with data visualization (matplotlib, plotly, etc.) • Ability to evaluate complex AI outputs and analytical reasoning • Experience with prompt engineering or AI evaluation is a plus • Strong attention to detail and analytical thinking Ideal Candidate A versatile data scientist or AI specialist who enjoys both building and evaluating data, models, and code, and can work with precision in fast‑moving AI projects. Experience: 4 to 8 years of professional experience in Data Analytics or a related technical field. Education: Engineering background (B.E./B.Tech or equivalent). At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar [https://www.zensar.com/careers/] and join us to Grow. Own. Achieve. Learn. [https://www.youtube.com/embed/i2NZsiQqVnU?autoplay=1&fs=1] to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Skills

Python Git

Data and AI Governance Compliance Analyst

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Data governance

AI Compliance

Regulatory Compliance

+4 more

Job Description

About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world About the team: The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through: An overarching Data & AI Policy to include associated standards Data & AI Governance including meta and master data management Data & AI Delivery Governance Data & AI Quality including both technical and business quality measures This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: The Data & AI Governance Analyst role contributes to balancing regulatory safety with high-velocity innovation. Sitting within the Data & AI Governance Department, you will be part of the team that translates complex regulations (DMA, EU AI Act, etc.) into everyday agile practices. You will assist with moving beyond simple ‘checkbox compliance’, helping product and tech teams navigate the complexities of data governance and ethical AI without slowing down development. You will be challenged to learn & adapt to new tools & technologies as a part of being a champion of change. You will assist with the full lifecycle of governance, from maintaining the Data Catalogue and AI Registry, to conducting quality control reviews thus ensuring our ‘agile’ environment remains a ‘compliant’ environment. You will work cross-functionally with business and tech stakeholders to ensure the regulatory and internal policies are not just written but translated into practical guardrails. Key Job Responsibilities and Duties: Data & AI Governance Compliance Operations Oversee the daily health of the various compliance dashboards. Ensure critical parameters and thresholds are monitored and actioned upon Assist in operationalizing governance frameworks (AI standard, master data management, etc.) that support the ‘High Velocity’ of change, ensuring guardrails keeps pace with changes. Regulatory Compliance & Monitoring Assist with risk & control implications of digital regulations (DMA, EU AI Act, GDPR, etc.) and help translate legal requirements into clear, actionable items for engineering and product teams. Help build the compliance monitoring plan. Actively monitor controls, review key activities, and validate that business units are adhering to defined requirements and policies. Help identify compliance risks or control deficiencies in early stages projects or implementation. Escalate material risks to the Compliance Manager with recommended remediation strategies. Adoption, Culture & Change Management Assist with the adoption of new governance tools and technologies. Create practical processes and raise awareness that make it easier for teams to be compliant than to cut corners. Simplify compliance concepts for non-technical stakeholders across the organization. Ideate and embed automated compliance checkpoints into the agile processes for continual compliance Policy Maintenance & Reporting Assist leadership in maintaining the compliance resource library. Ensure policies are not static documents but are regularly updated to reflect new regulatory standards and industry best practices. Assist with the remediation process ensuring that identified deficiencies are logged, tracked, and monitored until they are fully remediated and closed. Work with other BU and second line risk teams to ensure risks are monitored, remediated and/or reported appropriately to the right stakeholders. Help prepare data artifacts and evidence for internal and external audits, ensuring the ‘burden of proof’ is easily met. Role Qualifications and Requirements: 1+ years of experience around Data Governance and Compliance, or, alternatively, 1+ years of experience in working with Data, coming from Data Analysis, Business Analysis, Analytical background Good verbal, written and interpersonal communication skills, with the ability to apply common sense to carry out instructions and instruct others, write reports, correspondence and procedures, and speak clearly with stakeholders. Understanding of risk management procedures; Ability to think through risk management problems involving multiple facets and variables in non-standardized situations, requiring non-standard solutions. Ability to work independently with a wide variety of stakeholders. Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Requirements

Translate complex regulations into everyday agile practices
Assist with moving beyond simple 'checkbox compliance'
Help product and tech teams navigate the complexities of data governance and ethical AI
Maintain the Data Catalogue and AI Registry
Conduct quality control reviews
Ensure regulatory and internal policies are not just written but translated into practical guardrails

Benefits

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

Skills

Data governance AI Compliance Regulatory Compliance Master Data Management Data Catalogue AI Registry Meta Data Management

Data and AI Governance Compliance Analyst

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Data governance

AI Compliance

Regulatory Compliance

+4 more

Job Description

Requirements

Translate complex regulations into everyday agile practices
Assist with moving beyond simple 'checkbox compliance'
Help product and tech teams navigate the complexities of data governance and ethical AI
Maintain the Data Catalogue and AI Registry
Conduct quality control reviews
Ensure regulatory and internal policies are not just written but translated into practical guardrails

Benefits

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

Skills

Data governance AI Compliance Regulatory Compliance Data Catalogue AI Registry Meta Data Management Master Data Management

Data & AI Governance Compliance Analyst

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Data governance

AI Compliance

Regulatory Compliance

+3 more

Job Description

Requirements

Translate complex regulations into everyday agile practices
Assist with moving beyond simple 'checkbox compliance'
Help product and tech teams navigate the complexities of data governance and ethical AI
Maintain the Data Catalogue and AI Registry
Conduct quality control reviews
Ensure regulatory and internal policies are not just written but translated into practical guardrails

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Data governance AI Compliance Regulatory Compliance Data Catalogue AI Registry Agile Practices

AI Security Researcher

Oligo Security

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

Machine Learning

Application Security

+4 more

Job Description

About us Oligo is a fast-growing cybersecurity startup transforming how organizations protect their applications, cloud environments, and AI systems at runtime. Backed by top-tier investors including Greenfield Partners, Red Dot Capital Partners, Lightspeed, Ballistic Ventures, and TLV Partners, we’re on a mission to make real-time security a reality. Oligo’s industry’s leading runtime security platform built to stop attacks in real time without stopping the business. We transform security from passive visibility to active protection across applications, cloud services, workloads, and AI systems. By uncovering the deepest layers of what actually runs in production, Oligo helps organizations prioritize exploitable vulnerabilities, detect malicious behavior as it happens, and stop modern attacks in their tracks. What You’ll Be Doing As an AI Security Researcher at Oligo, you will play a key role in shaping the future of modern runtime AI security. You will investigate how real-world attacks unfold across AI-enabled applications, agents, tools, executed in cloud environments, and turn those insights into innovative, production-grade security capabilities across our AI Security Posture Management (AI-SPM) and AI Detection & Response (AI-DR) products. This role is ideal for a deeply technical researcher who is driven to understand AI attacks at their core - not just identify suspicious prompts or surface-level indicators. You will research how prompt injection, tool misuse, agent drift, model abuse, and other emerging AI attack techniques translate into real runtime behavior and security impact. You will then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work in production. Specifically, you will: Research real-world attacks targeting models, agents, MCP/tooling ecosystems, RAG applications, and AI-enabled production systems. Drive research end-to-end - explore, design, develop, validate, and deploy detection logic and protections based on runtime telemetry, exploit PoCs, technical analysis, and threat intelligence. Shape AI-SPM capabilities by identifying what telemetry, signals, and modeling are required to continuously discover AI components, classify AI behavior, map risk, and detect unsafe or anomalous usage in production. Shape AI-DR capabilities by researching how to detect AI-driven attacks, prove runtime impact, establish causality, and distinguish failed attempts from real compromise. Work closely with engineering and product teams to turn deep technical research into practical security capabilities that deliver clear customer value. Requirements Qualifications 5+ years of experience in security research, vulnerability research, detection engineering, threat research, application security, or a related technical security role. Strong understanding of modern attack techniques, including the ability to analyze vulnerabilities, exploitation flows, and attacker behavior in real systems. Familiarity with AI application architectures and concepts, including LLM-based applications, agents, tooling layers, models, RAG. Experience designing and conducting hands-on technical research, including investigations, experiments, exploit analysis, and PoC development. Strong programming skills for code analysis, research tooling, proof-of-concepts, and building vulnerable or instrumented test environments. Experience working with runtime telemetry, behavioral signals, or detection-oriented datasets, and the ability to translate research into scalable detection logic. High degree of ownership and ability to independently navigate ambiguous technical problem spaces and turn them into structured research plans and actionable outcomes. Strong communication and teamwork skills, with a collaborative approach to problem-solving across research, engineering, and product teams. We’ll be lucky if you have Experience with AI security research, including hands-on familiarity with attack techniques targeting AI models, agents, and AI-integrated applications. Knowledge of cloud-native attack surfaces, such as Kubernetes and modern distributed application environments. Familiarity with programming language internals, exploitation techniques, or low-level system behavior. Experience with data science, behavioral modeling, anomaly detection, or statistical analysis in the context of security research. Knowledge of programming language internals, exploitation techniques, or low-level system behavior. Experience with data science or statistical analysis in the context of security research.

Requirements

5+ years of experience in security research
Strong understanding of modern attack techniques
Ability to analyze vulnerabilities
Exploitation flows
Attacker behavior
Research real-world attacks targeting models
Drive research end-to-end

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Remote Work

Skills

Python Machine Learning Application Security Security Research Vulnerability Research Detection Engineering Threat Research

Risk Management - Model Risk Program Associate

JPMorgan Chase & Co.

Full Time

$135k - $150k

2 days ago

Worldwide

Mid

statistics

Economics

Finance

+4 more

Job Description

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you play a crucial role in maintaining JPMorganChase's strength and resilience. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Quant Model Risk Associate in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with complex models used across a space that includes models used for Corporate and Industrial Wholesale loan loss forecasting, Obligor Grading, Economic Capital and related BAU activities for wholesale credit risk. You'll be at the forefront of innovation, driving continuous improvement in a dynamic and collaborative environment. This role also provides the opportunity to gain exposure to various business and functional areas, as well as collaborate closely with model developers and users. Job Responsibilities * Perform thorough reviews of complex models used in Corporate and Industrial Wholesale Credit Risk, including loss forecasting, obligor grading and economic capital models by analyzing the conceptual soundness, model design, and appropriateness of models for specific products and structures. * Evaluate model behavior and ensure the suitability of loan loss forecasting and obligor grading models for their intended applications, identifying potential limitations and areas for improvement. * Develop and implement alternative model benchmarks. Design and maintain robust model performance metrics to compare and monitor the outcomes of various models. * Continuously evaluate model performance, ensuring models remain fit for purpose and compliant with internal and regulatory standards. Recommend enhancements and oversee remediation where necessary. * Serve as the primary point of contact for the business regarding new model implementations and changes to existing models. Provide expert guidance on model usage, limitations, and governance requirements. * Liaise effectively with model developers, Risk, and Control Groups. Offer guidance and support on model risk management, validation standards, and regulatory expectations. Required Qualifications, Capabilities and Skills * Advanced degree (MSc, PhD, or equivalent) in a quantitative discipline such as mathematics, statistics, financial engineering, or related field. * Advanced knowledge of statistics, econometrics, economics and finance, with demonstrated ability to apply these concepts to financial modeling and risk assessment. * Deep understanding of credit risk quantitative models for loss forecasting and obligor grading, including familiarity with wholesale credit. * Strong analytical and problem-solving skills, with an inquisitive mindset and the ability to formulate insightful questions, identify model limitations, and escalate issues appropriately. * Excellent written and verbal communication skills, with the ability to clearly explain complex quantitative concepts to both technical and non-technical stakeholders. * Proficient programming skills in languages such as Python or similar, with experience implementing numerical algorithms and developing model prototypes. * Demonstrated curiosity and ownership, with a strong willingness to work collaboratively within a team-oriented environment. * One plus years’ experience in model development or in model review, validation, and governance within financial services, with a strong understanding of loan loss forecasting models. Preferred Qualifications, Capabilities and Skills * Experience in Corporate and Industrial Wholesale Credit risk. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Requirements

Advanced degree in a quantitative discipline
Advanced knowledge of statistics, econometrics, economics, and finance
Deep understanding of credit risk quantitative models for loss forecasting and obligor grading
Strong analytical and problem-solving skills
Ability to apply concepts to financial modeling and risk assessment

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Stock Options
Training Budget

Skills

statistics Economics Finance Python Modeling Risk Assessment Econometrics

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

Contract

$0.015k - $0.017k

2 days 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) - German (US)

Contract

$0.015k - $0.017k

2 days ago

Worldwide

Mid

German

Large Language Models

Problem-solving

+2 more

Job Description

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

Contract

$0.017k - $0.018k

2 days 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 Security Analyst

DLB Associates

Full Time

$99.75k - $120.225k

2 days ago

United States

Worldwide

Senior

Python

Data classification

AI tools

+4 more

Job Description

Position Title AI Security Analyst Position Location Remote – work virtually from anywhere in the United States Salary AI2IO recognizes salary ranges from job boards do not necessarily reflect our pay ranges. In many instances we out-compete those ranges for well-qualified candidates. Job Summary The AI Security Analyst is responsible for evaluating, governing, and securing the organization’s adoption and use of artificial intelligence tools, platforms, and integrations. Working under the direction of the Information Security Manager, this role ensures that AI technologies are deployed with appropriate security controls, data protection standards, and risk oversight across ai2io’s multi-tenant managed services environment. This is a research-driven, governance-focused role. The AI Security Analyst: Evaluates AI tools, SaaS integrations, and platform capabilities for security risk, data exposure, and compliance alignment before and during organizational adoption. Develops and maintains the organization’s AI governance framework, including usage policies, application approval workflows, and data classification standards for AI contexts. Coordinates with AI platform engineering teams to ensure sensitivity labels, access controls, and data boundaries are consistently governed under a centralized security standard. Monitors AI usage across the organization using Microsoft Defender for Cloud Apps and other telemetry sources to identify shadow AI, unauthorized integrations, and data leakage risks. Supports GRC and identity security functions as a secondary focus, including compliance evidence collection, access reviews, and framework alignment. The AI Security Analyst works closely with the Information Security Manager, AI platform teams, GRC function, and identity security resources to ensure AI adoption is secure, governed, and aligned with organizational and parent company requirements. Essential Functions AI Security Governance & Policy Develop and maintain the AI governance framework, including acceptable use policies, application approval workflows, and risk classification criteria for AI tools and integrations. Own the security review process for new AI and SaaS application requests, evaluating data handling, authentication, API permissions, and privacy implications before approval. Define and govern the sensitivity label taxonomy across Microsoft Purview and integrated AI platforms, ensuring a single source of truth for data classification. Research emerging AI security threats, vulnerabilities, and best practices to inform organizational policy and control decisions. Maintain a current inventory of approved and in-use AI tools across the organization, tracking ownership, data access scope, and review status. AI Platform Security & Data Protection Support the security configuration and access control design for enterprise AI platforms including Claude Enterprise, Microsoft 365 Copilot, and Copilot Studio. Configure and manage pilot group membership, security group structures, and OAuth connector controls for AI tool rollouts using Entra ID. Coordinate with AI platform engineering to ensure platform-level data sensitivity labels and agent-level access controls align with centrally defined Purview classification standards. Monitor AI application usage and data flows using Microsoft Defender for Cloud Apps, identifying shadow AI adoption, excessive permission grants, and data exposure risks. Evaluate OAuth consent requests and API permission scopes for AI-related application registrations, coordinating with identity security resources on approval decisions. Assess data boundary and residency implications for AI platforms that process, store, or transmit organizational data. GRC & Identity Support (Secondary) Support the GRC function with compliance evidence collection and control validation for SOC 2, NIST CSF, and other applicable frameworks. Assist with identity and access management reviews, including periodic access certifications and privileged access audits. Contribute to security policy development and maintenance as it relates to AI governance, data classification, and third-party risk management. Support internal security assessments and audits by providing documentation and analysis related to AI tool controls and data handling practices. Continuous Improvement Stay current on developments in AI security, including emerging threat vectors, regulatory guidance, and industry frameworks such as the OWASP AI Security and NIST AI Risk Management Framework. Evaluate and recommend improvements to AI security controls based on organizational adoption patterns, threat intelligence, and lessons learned from incidents or near-misses. Provide guidance and awareness training to staff on secure use of AI tools, data handling expectations, and organizational AI policies. Completion of Assigned Tasks and Deliverables on Time and on Budget Performs Other Related Duties as Assigned Position Requirements Demonstrated understanding of AI and large language model security risks, including data leakage, prompt injection, excessive permissions, and shadow AI adoption. Experience with Microsoft 365 security and compliance tools, including Microsoft Purview (DLP, sensitivity labels, data classification), Defender for Cloud Apps, and Entra ID. Familiarity with OAuth 2.0, API permission models, and application consent frameworks in enterprise environments. Experience with data classification, sensitivity labeling, and data loss prevention concepts and implementation. Understanding of compliance frameworks (NIST CSF, SOC 2, NIST AI RMF) and the ability to map AI-related controls to framework requirements. Familiarity with cloud security principles in Microsoft Azure, including identity, access management, and data residency considerations. Scripting or automation capability (PowerShell, Python, or similar) for reporting and administrative tasks is a plus. Strong research and analytical skills with the ability to evaluate emerging technologies and translate findings into actionable security recommendations. Clear written and verbal communication skills, including the ability to explain AI security risks and control rationale to both technical and non-technical stakeholders. Ability to work cross-functionally with engineering, operations, and business teams to embed security into AI adoption decisions. Comfort operating in a fast-moving environment where AI capabilities and associated risks are evolving rapidly. Ability to work effectively both independently and as part of a small, collaborative security team. Travel / Relocation Requirements Up to 5%, this may include travel to any or all 50 US states Travel is defined as physically leaving home on behalf of business activities including but not limited to client sites, meetings with other employees, meeting for business development purposes, running errands on behalf of the business, attending industry conferences, etc. Education / Experience Requirements Bachelor’s degree in Information Technology, Computer Science, Cybersecurity, or related discipline; or equivalent combination of education and experience. 2–4 years of experience in information security, cloud security, GRC, or a related field with demonstrated exposure to AI/ML technologies or SaaS security governance. Security certifications preferred (Security+, SC-400, SC-300, CISSP, or AI-specific security certifications). Benefits DLB Associates offers a very competitive benefits package; highlights include Choice of comprehensive medical plans (including two PPO-style plans and a HDHP w/ HSA option) Flex spending accounts (FSA) Dental and vision plans Comprehensive medical, dental and vision benefits extended to spouse / domestic partner and dependent children up to age 26 401k with company match and self-directed brokerage account option PTO including additional paid time off during the last week of the year Company paid life insurance coverage for employees and their eligible dependents Short and long-term disability, AD&D coverage Professional development opportunities, tuition reimbursement and professional licensing assistance Paid parental leave after one year of employment CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is DLB's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. DLB Associates is an EEO/Affirmative Action Employer and participates in the E-Verify program with the Department of Homeland Security. We encourage diversity in our workforce. Are you ready to challenge yourself and redefine standards in the AEC industry? Apply now and join our award-winning team! NOTICE TO THIRD PARTY AGENCIES: DLB does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to DLB in the absence of a signed Service Agreement where DLB has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of DLB and DLB will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.

Requirements

Evaluates AI tools, SaaS integrations, and platform capabilities for security risk, data exposure, and compliance alignment before and during organizational adoption.
Develops and maintains the organization's AI governance framework, including usage policies, application approval workflows, and data classification standards for AI contexts.
Coordinates with AI platform engineering teams to ensure sensitivity labels, access controls, and data boundaries are consistently governed under a centralized security standard.
Monitors AI usage across the organization using Microsoft Defender for Cloud Apps and other telemetry sources to identify shadow AI, unauthorized integrations, and data leakage risks.
Supports GRC and identity security functions as a secondary focus, including compliance evidence collection, access reviews, and framework alignment.

Benefits

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

Skills

Python Data classification AI tools Microsoft Purview SaaS integrations Microsoft Defender for Cloud Apps API permissions

Principal Solutions Engineer - Data & AI Governance (South)

OneTrust

Full Time

$127.5k - $191.25k

2 days ago

Worldwide

Senior

Data classification

Metadata Management

Policy Enforcement

+5 more

Job Description

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We’re looking for a Principal Solutions Engineer - Data & AI Governance to serve as a trusted technical advisor to enterprise customers. This role sits at the intersection of Sales Engineering, AI governance, privacy, and security, helping organizations design and implement scalable governance architectures that support innovation while meeting regulatory and risk requirements. Your Mission Serve as a technical authority in enterprise sales cycles, leading architecture discussions across AI governance, data governance, privacy, and security Partner with Account Executives and Sales Engineers to support customer meetings, executive presentations, and technical deep dives Lead discovery sessions to uncover governance maturity gaps, organizational friction, and business drivers tied to trust and risk Design end-to-end governance solutions that balance technical feasibility, regulatory defensibility, and operational adoption Architect and demonstrate integrations across APIs, microservices, and cloud-native environments Build and deliver proofs-of-concept (POCs) to showcase how OneTrust integrates into complex AI and data ecosystems Translate regulatory frameworks (EU AI Act, NIST AI RMF, etc.) into practical technical workflows and controls Your Experience Includes: 6–12+ years in Solutions Engineering, Technical Sales, or Technical Consulting roles Strong background in GRC, privacy, security, or compliance Experience advising enterprise customers on governance strategy and operating models Technical Expertise Strong understanding of SaaS architecture, cloud-native systems, and distributed environments Domain Expertise Deep understanding of data governance and/or AI governance concepts, including: Data classification and metadata management Policy enforcement and risk-based governance AI lifecycle governance and safeguards Ability to translate complex governance concepts into clear, business-aligned solutions You Are A trusted advisor with strong executive presence and communication skills A systems thinker who understands how technology, governance, and business intersect Commercially aware, able to tie technical solutions to business outcomes and deal success A strong storyteller who can simplify complex technical concepts for diverse audiences Comfortable operating in a fast-paced, evolving environment For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits. Salary Range $127,500—$191,250 USD Where we Work We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: OneTrust Careers on YouTube @LifeatOneTrust on Instagram Your Data You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form. Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to [email protected]. Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Requirements

6–12+ years in Solutions Engineering, Technical Sales, or Technical Consulting roles
Strong background in GRC, privacy, security, or compliance
Experience advising enterprise customers on governance strategy and operating models
Strong understanding of SaaS architecture, cloud-native systems, and distributed environments
Deep understanding of data governance and/or AI governance concepts
Ability to translate complex governance concepts into clear, business-aligned solutions

Benefits

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

Skills

Data classification Metadata Management Policy Enforcement AI Lifecycle Governance SaaS architecture Cloud-native systems Distributed environments Risk-based governance

Director, Treasury & Model Risk Management

Ent Credit Union

Full Time

$180k - $200k

2 days ago

United States

Worldwide

Senior

Asset Liability Management

Model Risk Management

Risk Oversight

+5 more

Job Description

Company Description Ent Credit Union and Wings Credit Union joined forces in January 2026. This merger means more opportunities, expanded resources, and a shared commitment to delivering exceptional member service. Together, we become more - empowering members, communities, and teams through a bold, unified future. Both organizations bring a strong legacy of member satisfaction, operational excellence, financial stability, and community impact. Recognized locally and nationally as best-in-class financial institutions and employers of choice, each is known for its commitment to financial well-being and philanthropic leadership. Join us during this transformative time and be part of shaping the future of banking! To learn more about the merger, click here. Job Description As part of the second line risk framework, the Director acts as a senior leader responsible for providing risk oversight related to treasury, liquidity, capital, and asset-liability management (ALM), while also managing Wings' Model Risk Management (MRM) program. This position leverages advanced analytical skills and strong governance practices to ensure that first line treasury and modeling systems, strategies, and established control frameworks are resilient, transparent, and fully compliant with both regulatory requirements and the board's approved risk appetite. The director will play an integral role in guiding Wings' approach to major financial risks, proactively identifying emerging risks, and collaborating with stakeholders to promote a strong risk management culture throughout strategic and operational decision-making. Primary responsibilities include supervising the Treasury & Model Risk Management team, conducting impartial assessments and validations of first-line activities such as liquidity assumptions and asset-liability management, providing constructive challenges to funding and liquidity strategies, performing independent reviews of stress testing processes, and undertaking comprehensive capital management evaluations. Essential Functions: Lead the management and development of Wings' Treasury & Model Risk Management to ensure comprehensive identification, measurement, monitoring, and mitigation of liquidity, capital, asset-liability management, and capital management risks. Maintain and reinforce risk appetite, limits, and controls across liquidity, interest rate risk, investment portfolio risk, and financial operations. Oversee and challenge liquidity stress testing, scenario analysis, and treasury metrics, ensuring that methodologies are sound and outcomes are defensible. Independently conduct gap assessments and develop processes to strengthen asset liability management, liquidity planning, stress testing, and capital management Oversee Lead Wings' MRM program, ensuring that models within treasury, finance, credit, data science analytics, as well as artificial intelligence and machine learning domains, are accurately identified, inventoried, governed, validated, and monitored in accordance with SR 11-7 guidelines. Oversee the development of stress testing methodologies, model creation and governance processes, review and approve assumptions, and ensure accurate risk measurement. Conduct and/or oversee independent model validations, including conceptual soundness, performance testing, benchmarking, and ongoing monitoring. Work with second line leadership to establish model risk management procedures and standards to align with evolving regulatory requirements and industry best practices. Partner with model developers, data science, technology, and other stakeholders across the three lines to evolve Wing's MRM framework. Translate complex regulatory requirements into scalable data, model, and workflow designs to help non-experts understand the vision, strategy, and overall value. Build data driven insights and/or dashboards that strengthen liquidity, capital, and ALM risk visibility. Provide leadership in the development and implementation of advanced analytics, including artificial intelligence and machine learning solutions, to strengthen risk management initiatives. Prepare detailed risk reports for senior management, highlighting key liquidity and credit exposures, trends, and performance metrics. Work with the second line risk leadership and first line leaders to execute risk limit governance, including setting liquidity risk appetite, calibration of risk limits, and ongoing monitoring of limit utilization and remediation. Work in partnership with key stakeholders throughout the credit union to ensure that risk considerations are systematically integrated into both strategic planning and day-to-day operations. Bank Secrecy Act: Remains cognizant of and adheres to Wings policies and procedures, and regulations pertaining to the Bank Secrecy Act. Qualifications Minimum Formal Qualifications for this Position: Bachelor's Degree business, economics, finance, mathematics, or statistics required Master's Degree business, economics, finance, mathematics, or statistics preferred PhD business, economics, finance, mathematics, or statistics preferred 8+ years' experience in financial or treasury risk management within banking and/or financial institutions, covering liquidity, ALM, capital, market, credit, and financial operations risk required 3+ years' supervisory or team leadership experience required Technical or Specialized Knowledge/Skills: Demonstrated expertise in leading analytical projects, such as liquidity stress testing, scenario analysis, and asset-liability management (ALM) modeling, with substantial experience in large data set manipulation. Experience in model development and validation, including treasury, credit, or financial models (e.g., PD, LGD, EAD, transition, and ALM models). Strong understanding of the three lines of defense, issue management, and change control. Demonstrated ability to translate regulatory requirements into scalable data, model, and workflow designs. Experience leading large cross-functional work initiatives with key stakeholders. Strong program management discipline, including roadmap development and execution. Exceptional communication skills with the ability to synthesize analytics into clear narratives, influence senior leadership, and engage with risk committees and board-level stakeholders. Advanced skills leveraging Python, R, and SQL for analytics, model testing, and validation. Interest in financial markets and risk management; committed to continuous learning. Knowledgeable in risk governance, enterprise risk management, and internal controls. Demonstrates curiosity, ownership, and teamwork. Ability to work independently, exercise judgment, and drive change. Additional Information The pay range for this position is: $180,000-200,000 annually (S19) plus 20% annual target bonus. Final compensation for this position will be determined by various factors such as relevant work experience, specific skills and competencies, education, certifications, location and internal pay equity. BENEFITS: Generous 401(k) match 401k Discretionary Profit Sharing Health Insurance Dental Insurance Vision Insurance Life Insurance Short-Term and Long-Term Disability Health Savings Account with company contribution Employee Assistance Program Paid Vacation, Sick, Floating Holidays and Volunteer Time Off Paid Holidays Tuition Reimbursement Paid Parental Leave We anticipate this position to close on 04/15/2026. Please submit your application at your earliest convenience to be considered. Compensation: USD 180000 - USD 200000 - yearly

Requirements

Lead the management and development of Wings' Treasury & Model Risk Management to ensure comprehensive identification, measurement, monitoring, and mitigation of liquidity, capital, asset-liability management, and capital management risks.
Maintain and reinforce risk appetite, limits, and controls across liquidity, interest rate risk, investment portfolio risk, and financial operations.
Oversee and challenge liquidity stress testing, scenario analysis, and treasury metrics, ensuring that methodologies are sound and outcomes are defensible.
Independently conduct gap assessments and develop processes to strengthen asset liability management, liquidity planning, stress testing, and capital management.
Oversee Lead Wings' MRM program, ensuring that models within treasury, finance, credit, data science analytics, as well as artificial intelligence and machine learning domains, are accurately identified, inventoried, governed, validated, and monitored.

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Retirement Plan

Skills

Asset Liability Management Model Risk Management Risk Oversight Governance Risk Appetite Liquidity Treasury Capital

Senior Manager - Machine Learning Applied Research and ML , Responsible AI and Safety

Apple

Full Time

$120,000 - $200,000*

2 days ago

Worldwide

Senior

TensorFlow

PyTorch

Deep Learning

+4 more

Job Description

Join us as we build world-class groundbreaking products for our customers! Apple's Responsible AI and Safety team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a leader with a strong track record in Applied Research, who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards. DESCRIPTION As a manager, you will lead a growing team to innovate and deliver high-impact features with state-of-the-art machine learning technologies. You will be working on the design and development of core technologies in the areas of GenAI and Responsible AI and Safety. An ideal candidate should have experience leading and supporting teams to develop ML-based solutions from initial concept through product release. MINIMUM QUALIFICATIONS Proven technical leadership with 5+ years of team management or leadership experience PhD or equivalent experience, in Computer Science, or related technical field is helpful Demonstrated expertise in ML research and/or ML production deployment lifecycle Deep understanding of LLM Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch Ability to formulate a research problem, design, experiment, implement and communicate solutions Ability to work in a diverse collaborative environment PREFERRED QUALIFICATIONS Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.) Experience working on Responsible AI and AI Safety

Requirements

Proven technical leadership with 5+ years of team management or leadership experience
PhD or equivalent experience, in Computer Science, or related technical field is helpful
Demonstrated expertise in ML research and/or ML production deployment lifecycle
Deep understanding of LLM
Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
Ability to formulate a research problem, design, experiment, implement and communicate solutions
Ability to work in a diverse collaborative environment
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Dental Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

TensorFlow PyTorch Deep Learning Machine Learning Artificial Intelligence Python Computer Science

Senior AI Security Content Engineer (Fixed Term)

TryHackMe

Contract

$120,000 - $180,000*

2 days ago

Worldwide

Senior

AI/ML systems

Threat Detection

Incident Response

+5 more

Job Description

TryHackMe is the fastest-growing online cyber security training platform. Our mission is to make learning and teaching cyber security easier by providing gamified security exercises and challenges. Having only been around for handful of years, we've grown to more than 7+ million community members and our growth isn't slowing down! 🥷 The Role We're looking for a Senior AI Security Content Engineer to help us design and develop cutting-edge AI-focused cybersecurity training content. This is a senior role that demands deep, hands-on cybersecurity expertise combined with strong AI/ML knowledge — you'll be creating advanced learning experiences that teach our users how to secure, assess, and defend AI/ML systems in an era where artificial intelligence is rapidly transforming the security landscape. In this role, you'll research and develop immersive training content covering AI system vulnerabilities, attack vectors, and defensive strategies. From prompt injection and model manipulation to supply chain attacks and data poisoning, you'll transform complex AI security concepts into engaging, practical labs that help millions of learners build essential skills for the future of cybersecurity. The ideal candidate brings proven, hands-on cybersecurity experience — you've worked in the trenches of blue team operations, security engineering, incident response or in the realms of offensive security or cloud security — and you have a strong working knowledge of AI/ML systems, their architectures, and the unique security challenges that arise when integrating them into existing organisational infrastructure. You understand both the cybersecurity fundamentals and the AI landscape well enough to teach others how to defend at the intersection of the two. Technical Skills & Experience To be considered for this opportunity, you must have at least 5+ years of hands-on cybersecurity experience in roles such as: Security Engineer, SOC Analyst, Threat Hunter, Incident Responder, or Penetration Tester In addition, you must demonstrate practical knowledge of AI/ML systems and their security implications, gained through professional experience, personal projects, or research — including hands-on exposure to AI model deployment, MLOps pipelines, or cloud-based AI environments (Azure, AWS, GCP). Mandatory cybersecurity skills — you must be able to demonstrate: Deep, hands-on experience with defensive/offensive security fundamentals: threat detection, incident response, log analysis, digital forensics, security monitoring, penetration testing, etc; Proficiency with core security tools and frameworks (SIEM, EDR, IDS/IPS, MITRE ATT&CK, or similar) Strong understanding of network security, endpoint security, and cloud security principles Proven ability to investigate, analyse, and respond to real-world security incidents Mandatory AI/ML security skills — you must also demonstrate: Solid grasp of AI/ML system architectures, data pipelines, and attack surfaces (model poisoning, data leakage, prompt injection, adversarial attacks, etc.) Ability to analyse and articulate AI system vulnerabilities, their potential impact, and available mitigation strategies Familiarity with AI/LLM security frameworks, such as: OWASP Top 10 for LLMs MITRE ATLAS NIST AI Risk Management Framework AI/ML Supply Chain Security (e.g., model provenance, dataset integrity) Hands-on skills with AI security tools (such as Garak, MLflow) and Python ML/AI libraries (TensorFlow, PyTorch, Hugging Face, etc.) Hands-on experience with creating AI agents - especially in the cyber field! You should also bring: Excellent technical writing and communication skills, capable of translating complex AI security concepts into engaging, digestible learning material Ability to research and synthesise emerging AI security threats and defensive techniques Understanding of AI governance, model interpretability, and security best practices Job Responsibilities Research, design, and develop comprehensive AI security labs for TryHackMe, creating realistic attack/defence scenarios (prompt injection, model exfiltration, adversarial inputs, supply chain attacks) and immersive learning experiences that cover AI vulnerabilities, attack vectors, impacts, and mitigation strategies Draw on your hands-on cybersecurity background to ensure all AI security content is grounded in real-world defensive practices and threat landscapes Collaborate with the Content Engineering Team to align AI-focused content with TryHackMe's learning pathways Translate cutting-edge AI security research and real-world incidents into interactive, practical learning experiences Stay current with the evolving AI threat landscape and update content to reflect new attack techniques and defences Contribute to the content roadmap for AI and emerging technology tracks Serve as a subject matter expert across both cybersecurity and AI security, mentoring other content engineers and elevating the quality and accuracy of content across the team Excel at sharing AI security expertise (and any other relevant expertise) with team members, translating technical research into actionable insights Preferred Skills (nice-to-have): Experience building or evaluating LLM-based applications (e.g., LangChain, OpenAI API, Azure OpenAI, or Hugging Face) Familiarity with AI red teaming and adversarial testing Programming experience with Python, PowerShell, or Bash Experience with AI model testing, validation, or security assessment Understanding of MLOps security and CI/CD pipeline hardening Background in CTF challenge design or gamified cybersecurity content Previous experience creating technical training content or educational materials Security Certifications / AI certifications are a nice-to-have Experience working with or defending cloud-native AI infrastructure (e.g., Azure AI, AWS SageMaker, GCP Vertex AI) Benefits & Perks: 🚣 100% Remote - In a fully digital world, work from anywhere you want! 🕒 Flexi Time - Choose your own hours as long as you have at least 4 hours of overlap with the UK timezone (from 8am - 6pm) 💻 Tools - a dedicated work laptop + any accessories you need to do your best work. 👕 Swag Pack - start your TryHackMe journey with a branded swag bundle! 💪 Personal Development - £2,500 training budget to acquire certifications, and more. ⛱️ Company Retreat - an annual company retreat, fully paid for by us! 🍕 Lunch on us - whether you're a pizza-lover, salad obsessed or a big sushi fan, TryHackMe will cover the cost of your lunch order during our recurring company virtual lunches. 🧡 Health Insurance - if you're in a country that doesn't have public health care. 🍼 Enhanced Maternity & Paternity - an enhanced package on top of statutory requirements. 💸 401k / Pension - TryHackMe makes it easy to save money for your retirement. Our Hiring Process Stage 1: Short introduction call (30 mins) Stage 2: Technical Take Home Exercise Stage 3: Technical interview (one hour) Stage 4: Final call with a Co-Founder (30 mins) At this time, we are unable to provide sponsorship.

Requirements

5+ years of hands-on cybersecurity experience
Deep, hands-on experience with defensive/offensive security fundamentals
Proficiency with core security tools and frameworks
Strong understanding of network security, endpoint security, and cloud security principles
Proven ability to investigate, analyse, and respond to real-world security incidents
Solid grasp of AI/ML system architectures, data pipelines, and attack surfaces
Hands-on exposure to AI model deployment, MLOps pipelines, or cloud-based AI environments

Benefits

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

Skills

AI/ML systems Threat Detection Incident Response Penetration Testing Security Monitoring Cybersecurity fundamentals Log analysis Digital forensics

Escalation Engineer - AI Security

Zscaler

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

APIs

Log analysis

Cloud Security Services

+5 more

Job Description

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for an experienced Escalation Engineer to join our Customer Success team. This is a hybrid role based in Bangalore, you will report to the Escalation Manager. Our Customer Success Strategy & Operations team uses valuable data and market research to help our customers succeed and drive value. You'll be an integral part of solving challenges faced by our client-facing teams to help make Zscaler more efficient in meeting our customers' needs. What you’ll do (Role Expectations) Own and resolve the highest-severity technical escalations through deep analysis, ensuring fast resolution and managing the on-call rotation for critical issues Troubleshoot and resolve complex issues across Zscaler cloud security services, configuration, policy engines, APIs, and AI-assisted capabilities Investigate and resolve scenarios related to the secure use of AI models, governance of AI agents, data protection, and inference security Perform detailed log, telemetry, and packet-level analysis to identify the root cause, reproducing complex defects, providing engineering-ready bug reports, and validating fixes Drive cross-functional collaboration with Engineering, Cloud Ops, and Product Management, while also creating advanced troubleshooting documentation and acting as a technical mentor to uplift support capability Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) 4–10 years of deep technical support, cloud support engineering, or escalation engineering experience Strong understanding of AI model security, data governance, AI agent behavior, and safe enterprise deployment principles Proficiency with APIs, JSON, logging frameworks, Linux CLI, debugging tools, and cloud-based distributed systems Exposure to cloud platforms (AWS/GCP/Azure) and identity, policy, or proxy-based architectures Ability to reproduce complex issues, correlate across layers (client → edge → cloud), and articulate clear RCAs What Will Make You Stand Out (Preferred Qualifications) Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including knowledge of enterprise networking, TLS/SSL inspection, and authentication flows Familiarity with LLM-based system behavior, data leakage prevention in AI, and establishing model access policy controls Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments #LI-RR #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Requirements

Own and resolve the highest-severity technical escalations
Troubleshoot and resolve complex issues across Zscaler cloud security services
Investigate and resolve scenarios related to the secure use of AI models
Perform detailed log, telemetry, and packet-level analysis
Drive cross-functional collaboration with Engineering, Cloud Ops, and Product Management
Create advanced troubleshooting documentation
Act as a technical mentor to uplift support capability

Benefits

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

Skills

APIs Log analysis Cloud Security Services Configuration Policy Engines AI-assisted Capabilities Troubleshooting Telemetry Analysis

AI Security Architect, Contract

66degrees

Contract

$120,000 - $180,000*

2 days ago

Worldwide

Senior

AI Security

Data Protection

Artificial Intelligence

+5 more

Job Description

Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of 66degrees 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. Overview of Role We are seeking an experienced AI Security Architect to establish security guardrails and governance frameworks for artificial intelligence deployment across our organization. This critical role will work directly with the AI business deployment team to develop standards, controls, and best practices that enable safe and responsible AI usage at both the employee and developer levels. As we build our AI corporate strategy from the ground up, you will be instrumental in shaping how our organization securely leverages AI technologies while protecting customer data, ensuring regulatory compliance, and mitigating emerging AI-related risks. Duration: 12 Months, Contract Responsibilities Design and implement comprehensive AI security architecture, including governance frameworks, data protection controls, model security standards, and usage policies for enterprise AI systems Collaborate with the AI business deployment team to establish security requirements and controls for AI applications, ensuring alignment between business objectives and security standards Develop and enforce AI usage policies and security guardrails for employees, including guidelines for acceptable use of generative AI tools, prompt engineering security, and data sharing restrictions Establish security standards and best practices for AI/ML development teams, covering model training security, data pipeline protection, API security, and secure model deployment Conduct AI-specific threat modeling and risk assessments, identifying vulnerabilities such as prompt injection, data poisoning, model theft, adversarial attacks, and privacy leakage Define data classification and handling requirements for AI systems, ensuring sensitive customer information and personally identifiable information are appropriately protected in training datasets and model outputs Evaluate and recommend AI security tools and technologies, including data loss prevention for AI interactions, AI gateway solutions, model monitoring platforms, and security testing frameworks Partner with compliance and legal teams to ensure AI implementations meet regulatory requirements including insurance industry regulations, data privacy laws, and emerging AI-specific legislation Create security awareness training programs focused on AI risks, responsible AI usage, and secure development practices for different user personas across the organization Develop incident response procedures specific to AI security events, including model compromise, data leakage, and unauthorized AI tool usage Monitor the evolving AI security landscape and provide strategic guidance on emerging threats, vulnerabilities, and security best practices Establish metrics and reporting frameworks to measure AI security posture and communicate risk to executive leadership Qualifications Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or related field; Master's degree preferred 8+ years of experience in information security with at least 3 years in security architecture roles Demonstrated experience designing security controls for AI/ML systems, including LLMs, generative AI platforms, or machine learning pipelines Deep understanding of AI security risks including prompt injection, model inversion, data poisoning, adversarial attacks, and privacy concerns in machine learning Strong knowledge of enterprise security frameworks and standards such as NIST CSF, ISO 27001, SOC 2, and data protection regulations including GDPR, CCPA Experience with cloud security architectures, particularly in AWS, Azure, or GCP environments where AI/ML workloads are deployed Familiarity with AI development tools and platforms such as OpenAI API, Azure AI Services, AWS SageMaker, or Google Vertex AI Excellent written and verbal communication skills with ability to translate technical security concepts to business stakeholders and executive leadership Relevant security certifications such as CISSP, CCSP, CISM, or specialized AI security certifications Experience in the insurance or financial services industry with understanding of regulatory requirements Hands-on experience with AI security tools such as AI firewalls, model monitoring solutions, or DLP platforms with AI capabilities Background in machine learning or data science with understanding of model training, evaluation, and deployment processes Knowledge of responsible AI principles, AI ethics frameworks, and fairness testing methodologies Experience building security awareness programs and training materials for technical and non-technical audiences Active participation in AI security communities, research contributions, or speaking engagements on AI security topics 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Requirements

Design and implement comprehensive AI security architecture
Collaborate with AI business deployment team
Establish security requirements and controls for AI applications
Develop and enforce AI usage policies and security guardrails
Conduct AI-specific threat modeling and risk assessments

Benefits

Remote Work
Flexible Hours
Health Insurance
Dental Insurance
Vision Insurance
401k Matching
Professional Development

Skills

AI Security Data Protection Artificial Intelligence Machine Learning API Security Model Security Cloud Technology Data Pipeline Protection

Data & AI Compliance Analytics Engineer

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

APIs

Data Processing

Cloud Computing

+5 more

Job Description

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. About the team: The Data quality and observability team focus on increasing reliability of data by providing tooling that increases observability and quality across several “lenses”: platform, data and AI. The needs addressed by the team are diverse, spanning both critical areas like risk and compliance, as well as exciting greenfield initiatives that require new assessments. Role Description: This role entails building and leading a new Bangalore team, designed to integrate with the existing Amsterdam track. The team will be responsible for developing and maintaining data quality and data observability solutions that enable the company to track critical data such as payments and ensure the minimum set of requirements are followed. Key Job Responsibilities and Duties: People Leadership Directly manage engineers Lead by example by taking ownership, being proactive and collaborating Foster a great culture that innovates, work together as a team, partner with other Booking.com teams and roles and celebrates unified success Respect the Booking.com values and use them as a guide to the way we work Inspire, grow, and develop individuals within the team; help create personal development plans using available learning resources and stretch opportunities. Communicate clear, structured, and relevant information to diverse stakeholders. Adapt style to the audience and lead active listening and conflict resolution Technology, Craft & Delivery Experience in designing and architecting APIs, dealing with high traffic Experience in large scale data processing and workflow management Mastery in technology leadership Engineering delivery, quality and practices within own team Delivery of the wider engineering strategic objectives Embed agile ways of working and company values within the team Ability to get into the technical detail (where required) to coach, support and mentor the team Adhere to the default principles for architecture, quality and non-functional requirements Contribute to the evolution of best practices across the department Drive a culture of ownership and technical excellence, including reactive work such as incident escalations Learn new technologies and keep abreast of existing technologies to be able to share learnings and apply these to a variety of projects when needed A strong data product mindset, treating data observability as a core feature and data as a product Architecture & Product Strategy Define, shape and deliver the roadmap Build new products, processes and operational plans Negotiate on the strategic importance of own product roadmap features Drive innovation in the team Own the architecture across the team This role may require participation in an on-call rotation. Role Qualifications and Requirements: 5+ years of experience in software development within a team. At least 2 years of experience leading and managing a team of engineers in a fast-paced and complex environment. Experience working with public cloud providers such as AWS Proven track record of hands-on technical leadership. Experience with big data tools (e.g. Spark or Flink) and Kafka are a plus. Proven experience with incident management, on-call rotations, and implementing reliability best practices. Strong understanding of observability principles (metrics, tracing, logging) applied to complex data systems. Strong understanding of SRE principles and frameworks (e.g. Google SRE book) Knowledge Engineering concepts (e.g. Knowledge Graphs, Graph Queries, Semantic Web, etc.) and Data Governance (Quality, Stewardship, Security, Compliance, Architecture) are strong pluses Strong understanding of the software development lifecycle and agile methodologies. Strong technical skills (Coding & System design) with the ability to get hands-on with your team if needed Excellent communicator with strong stakeholder management experience, good commercial awareness and technical vision You are a humble and thoughtful technology leader, you lead by example and gain your teammates’ respect through actions, not the title Diversity, Equity and Inclusion (DEI) at Booking.com: Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.” We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Requirements

People Leadership
Technology Leadership
Engineering Delivery
Quality and Practices
Agile Ways of Working
Company Values
Technical Detail
Mentorship

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus

Skills

APIs Data Processing Cloud Computing Machine Learning Data Science Python Workflow Management Agile Development

FLEX Director, AI Privacy & Governance

Marriott

Full Time

$5.716k - $9.211k

3 days ago

Worldwide

Senior

Agentic AI

Generative AI

Logging

+5 more

Job Description

This is a temporary position. Job Title: FLEX Director, AI Privacy Note: this is a FLEX position, contracted through end of 2026 Marriott is seeking an AI privacy specialist with a strategic mindset and keen eye for detail to support the responsible and compliant use of AI. As part of the Data, Analytics, and AI organization, the Director of AI Privacy will promote and support a culture of ethics and compliance at Marriott. This role is a key member of a cross-functional team responsible for advancing the customer data privacy agenda in the use of AI internally and externally. Key Responsibilities: * Leading the AI Privacy Product: Partner with Legal, Technology, the Gen AI Studio, Data Governance, Global information Security, and business disciplines on various cross-functional efforts, including, but not limited to: * Designing and implementing Agentic AI guidelines, ensuring compliance with Marriott’s privacy principles and policies. * Developing and implementing AI launch privacy accountability processes and mechanisms. * Partnering with AI Governance to maintain AI model and agent inventories. * Maintaining and facilitating the AI risk assessment process. * Overseeing the Responsible AI testing process (e.g., bias testing). * Leading change management efforts and promoting a culture of continuous improvement and innovation. * Staying abreast of the latest trends, technologies, and rapidly evolving legal and regulatory landscape surrounding AI, privacy, and data governance. * Support special projects and inquiries for Global Privacy needs. * Collaborate with the Senior Director, AI and Privacy on the Privacy roadmap. Candidate Profile Required: * Advanced degree (e.g., Master’s) or equivalent experience in a relevant field (e.g., computer science, data science, engineering, risk, law, or policy. * 7+ years of professional experience with progressive growth. * 3+ years in data privacy or protection (retail or hospitality preferred). * Ability to define, implement, and monitor AI safety controls, including human‑in‑the‑loop mechanisms, logging, monitoring, testing, and incident response processes. * Proven experience operationalizing AI safety, risk, or governance programs within an enterprise environment, with direct accountability for execution, controls, and outcomes. * Deep working knowledge of AI/ML systems (including generative AI), model lifecycles, data pipelines, and deployment patterns sufficient to assess real‑world safety, privacy, and misuse risks. * Clear, practical communicator, with executive presentation skills. * Capable of briefing executives on AI risks, tradeoffs, and mitigation status without excessive technical or theoretical framing. * Experience with third‑party AI tools and vendors, including due diligence, contractual safety requirements, and ongoing oversight. * Track record of influencing without authority, driving adoption of safety practices across distributed teams. * Strong program management and execution discipline, with the ability to track deliverables, dependencies, and risks across multiple concurrent AI initiatives. Preferred: * Experience managing AI‑related incidents or escalations, including triage, remediation, root‑cause analysis, and executive reporting. * Knowledge of digital personalization practices. * Experience operationalizing global and regional AI privacy laws (e.g., Colorado AI Act, EU AI Act). * IAPP, AIGP, CDPSE Certification (or similar). * Management consulting experience. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. All locations offer 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts. Benefits are subject to terms and conditions, which may include rules regarding eligibility, enrollment, waiting period, contribution, benefit limits, election changes, benefit exclusions, and others. Click here [https://life.marriott.com/wp-content/uploads/2025/09/benefitsoverviewf_2025edits_8.19.25.pdf] to learn more. Full-time positions also offer coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, and paid parental leave. Washington Applicants Only: Employees will accrue paid sick leave, 0.0384 PTO balance for every hour worked and be eligible to receive minimum of 9 holidays annually. Marriott HQ is committed to a hybrid work environment that enables associates to Be connected. Headquarters-based positions are considered hybrid, for candidates within a commuting distance to Bethesda, MD; candidates outside of commuting distance to Bethesda, MD will be considered for Remote positions. Marriott International is the world’s largest hotel company, with more brands, more hotels and more opportunities for associates to grow and succeed. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

Requirements

Advanced degree (e.g., Master’s) or equivalent experience in a relevant field (e.g., computer science, data science, engineering, risk, law, or policy
7+ years of professional experience with progressive growth
3+ years in data privacy or protection (retail or hospitality preferred)
Ability to define, implement, and monitor AI safety controls
Proven experience operationalizing AI safety, risk, or governance programs within an enterprise environment
Deep working knowledge of AI/ML systems (including generative AI), model lifecycles, data pipelines, and deployment patterns sufficient to assess real-world safety, privacy, and misuse risks
Clear, practical communicator, with executive presentation skills
Experience with third-party AI tools and vendors, including due diligence, contractual safety requirements, and ongoing oversight

Benefits

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

Skills

Agentic AI Generative AI Logging AI launch privacy accountability processes AI model and agent inventories AI risk assessment process Bias testing Human-in-the-loop mechanisms

Senior Engineering Analyst, Photos Responsible AI

Google

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

Python

SQL

Data Analysis

+4 more

Job Description

MINIMUM QUALIFICATIONS: * Bachelor's degree or equivalent practical experience. * 5 years of experience managing projects and defining project scope, goals, and deliverables. * 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. PREFERRED QUALIFICATIONS: * Experience working with Google's products and services (e.g., generative AI products). * Experience in SQL, building dashboards, data collection/transformation, or visualization/dashboards or experience in a scripting/programming language (e.g., Python). * Knowledge of content moderation policies and best practices. * Excellent problem-solving skills with attention to detail in an ever-changing environment. ABOUT THE JOB: Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As a Senior Engineering Analyst, you'll play a crucial role in ensuring a safe and trusted experience for users interacting with AI features in Google Photos. You will work directly with Product Management, Engineering, Policy, and Legal teams to build and execute a comprehensive approach to push the AI model to its limits and build resilience against malicious or unexpected inputs. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. RESPONSIBILITIES: * Accelerate generative AI feature development by preparing comprehensive and automated trust and safety evaluations set across all relevant data types/languages and that cover all critical generative AI user journeys (e.g., edits, search, etc.). * Conduct research, identify emerging risk areas, abuse vectors, and edge cases, and build internal and external partnerships for generative AI safety. * Partner with product, engineering, policy, research, central trust and safety, etc. to develop tailored testing approaches, tools, and solutions (e.g., test accounts etc.), test execution, and model output analysis to inform improvement areas and safety mechanisms. * Establish testing to discover residual and emergent risks. * Define program metrics and communication, and establish health metrics and feedback loops with stakeholders to evolve the program and report on key insights.

Requirements

Bachelor's degree or equivalent practical experience
5 years of experience managing projects and defining project scope, goals, and deliverables
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data
Experience working with Google's products and services
Experience in SQL, building dashboards, data collection/transformation, or visualization/dashboards or experience in a scripting/programming language
Knowledge of content moderation policies and best practices
Excellent problem-solving skills with attention to detail in an ever-changing environment

Benefits

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

Skills

Python SQL Data Analysis Data Visualization Machine Learning Generative AI Google Cloud

Responsible AI Data Scientist

Accordion

Full Time

$160k - $175k

3 days ago

United States

Worldwide

Senior

Python

Machine Learning

Data Science

+3 more

Job Description

Company Overview We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. If you crave challenging work and are looking to grow, come solve complex issues alongside 1,400+ finance & technology experts in a supportive, collaborative environment, the Backed by premier private equity firms and headquartered in New York with 10 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. About the role: We are seeking a Vice President, Responsible AI Data Scientist who combines technical expertise in Data Science and Machine Learning with a strong advisory lens to help drive trustworthy AI solution development across Accordion's practices. In this role, you will serve as an internal subject matter expert, embedding responsible AI principles and controls across the AI development lifecycle to drive validated, explainable, compliant, and auditable AI solutions. Drawing on your experience with AI policy, regulatory standards, and testing methodologies, you will translate governance requirements into actionable and testable playbooks that teams across the business can apply consistently. This position is critical to co-designing AI solutions with embedded Responsible AI practices aligned to Accordion's AI Governance principles. As Accordion scales AI capabilities across its practice areas, this role will provide the validation rigor and oversight needed to ensure we develop AI solutions our clients and firm can trust. This position must be based in our New York City or Chicago office and is a hybrid role with the flexibility to work remotely 2 days a week. This position is not eligible for immigration sponsorship. What You’ll Do: Governance & Technical Standards Translate AI governance, regulatory, and compliance requirements into testable operational Responsible AI playbooks with quantifiable standards for transparency, explainability, accuracy, fairness, privacy, and accountability — tailored to Accordion's AI solutions and business model Develop frameworks and guidance supporting systematic evaluation, testing, and risk mitigation that enable auditability, lineage, and transparent decision records Build evaluation frameworks that guide data scientists and engineering teams in developing, testing, and monitoring AI systems requirements; define mitigation strategies, detection methodologies, and acceptability thresholds Develop and implement testing principles for bias detection, model robustness evaluation, privacy preservation, and AI/privacy regulation alignment across different AI architectures and data types Establish benchmarks and governance processes aligned with industry standards (e.g., NIST AI RMF, EU AI Act, ISO 42001) that enable auditable AI transparency and explainability against applicable regulations and Accordion standards Testing & Validation Collaborate with data science and engineering teams across our AI solution practices to embed responsible AI controls throughout the development lifecycle Develop repeatable testing and validation playbooks and evaluation frameworks for use across practice areas Pressure test AI solutions for accuracy, reliability, and trustworthiness, including output anomaly detection, logging, and observability mechanisms Develop methods to produce model cards and support audit trails for outputs across Accordion's business practice pillars and Client solutions Cross-Functional Advisory Act as the firm's internal subject matter expert on Responsible AI topics including algorithmic fairness, transparency, privacy preservation, safety protocols, and risk mitigation strategies across the AI lifecycle Partner with Legal/Privacy/Risk, Technology, and D&A teams to translate regulatory requirements into actionable and measurable controls and governance structures Collaborate with teams developing AI solutions on risk-informed design decisions — advising on model selection, testing approaches, and appropriate guardrails Establish Responsible AI frameworks and operational playbooks that demonstrate alignment with evolving AI regulations (e.g., EU AI Act, GDPR, CCPA) and sector-specific requirements Monitor emerging AI regulations, industry standards, and responsible AI methodologies — translating insights into actionable internal design guidance Where applicable, support higher-risk or higher-profile engagements and AI product development where rigorous testing and evaluation of AI solutions is required You Have: 5+ years of hands-on experience in data and ML, including developing, deploying, and evaluating solutions using a range of skillsets (e.g., statistics, machine learning, NLP, data visualization) Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Statistics, or a related quantitative field Proven technical experience in regulated or complex industries with demonstrated collaboration across Legal/Risk/Compliance, Security, and AI/ML engineering teams Track record of operationalizing responsible AI through technical development frameworks, testing protocols, and quantitative evaluation that embed fairness, transparency, and accountability into production AI systems Strong programming proficiency in Python, R, or similar languages, with experience in ML frameworks and responsible AI tooling Understanding of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into technical controls Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams Preferred Qualifications: Advanced degree (Master's) in Computer Science, Data Science, Statistics, Information Systems, Engineering, or a related quantitative discipline Consulting experience at a leading management or professional services firm Direct experience working with Legal/Privacy/Compliance teams on AI, data governance, or emerging technology matters Familiarity with responsible AI tooling, red teaming platforms, or model evaluation frameworks You Are: Energized by ensuring AI systems that solve complex business challenges are built responsibly — with fairness, accuracy, transparency, explainability, and privacy by design embedded from the start A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams to establish AI principles, governance playbooks, and technical roadmaps A clear communicator who can translate AI governance concepts and technical risk findings into language that resonates with non-technical stakeholders and leadership A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations — and can turn frameworks into practical controls An adaptive contributor who embraces the pace of consulting, working across diverse sectors and practice areas The annual salary for this role ranges from: $160,000 to $175,000 USD + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity. Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. #LI-BS1

Requirements

Translate AI governance, regulatory, and compliance requirements into testable operational Responsible AI playbooks
Develop frameworks and guidance supporting systematic evaluation, testing, and risk mitigation
Build evaluation frameworks that guide data scientists and engineering teams in developing, testing, and monitoring AI systems requirements
Establish benchmarks and governance processes aligned with industry standards
Develop and implement testing principles for bias detection, model robustness evaluation, privacy preservation, and AI/privacy regulation alignment
Define mitigation strategies, detection methodologies, and acceptability thresholds

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Python Machine Learning Data Science AI Policy Testing Methodologies Regulatory Standards

Lead Cybersecurity Engineer, Data Loss Prevention & AI Governance

McGraw Hill LLC.

Full Time

$120,000 - $180,000*

3 days ago

United States

Worldwide

Lead

Artificial Intelligence

Generative AI

Data Loss Prevention

+5 more

Job Description

Overview Build the Future At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being. How can you make an impact? The Cybersecurity Engineer – AI & DLP is responsible for designing and implementing data protection and governance controls across enterprise AI platforms, such as generative AI and AI-assisted development tools. This position centers on preventing data leaks, overseeing AI interactions with sensitive information, and applying security policies using DLP technologies, logging, and automated controls. The engineer will assess risks associated with AI platforms, set up inspection and monitoring systems, and create governance frameworks that ensure AI tool usage complies with organizational security, privacy, and compliance standards. This is a remote position open to applicants authorized to work for any employer within the United States. What You'll Do: Define and implement AI security controls, such as prompt filtering, response inspection, redaction, and usage monitoring, to ensure enterprise AI tools operate within approved data protection and compliance boundaries. Evaluate inputs and outputs of enterprise AI tools (e.g., ChatGPT, Claude, and internal LLM platforms) to identify risks related to sensitive data exposure, prompt injection, and intellectual property leakage. Design and implement technical guardrails and monitoring controls—including prompt inspection, output filtering, and DLP policies—to ensure AI usage aligns with enterprise security and data governance standards. Design, implement, and operate Data Loss Prevention (DLP) controls to prevent the exposure of sensitive data across enterprise AI platforms and generative AI tools. Partner with engineering, AI/data science, and Digital Workspace teams to integrate security controls into AI platforms, including prompt monitoring, data classification, and access controls. Evaluate emerging AI tools, models, and AI-assisted development platforms to identify cybersecurity risks and recommend appropriate security requirements and mitigations. Implement logging, monitoring, and alerting capabilities to provide visibility into how enterprise data is accessed, processed, and shared through AI systems. Develop and enforce policies and technical controls that prevent the use of sensitive data (e.g., PII, credentials, proprietary content) within AI prompts, training datasets, or integrations. Design and implement a Data Loss Prevention (DLP) strategy throughout all MH infrastructure systems (MS Purview, Zscaler, cloud environments). Operationalize the alert and triage standard operating procedures to protect sensitive emails, uploads, and other avenues of data loss. Support the design of secure architecture for enterprise AI platforms, including controls for data handling, model access, API usage, and third-party integrations. Contribute to security awareness and guidance for developers and employees on safe and responsible use of generative AI tools. Who You Are: 15+ years of applicable experience. Bachelor's degree in computer science, Engineering, or related field. Strong communication skills and comfortability working directly with business stakeholders, vendors, and leadership. Ability to present risks and recommendations to leadership. Ability to translate complex identity concepts into business value. Understanding the Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and API integrations. Strong knowledge of DLP technical controls, concepts, and end user computing behaviors. Experience with administration of the Microsoft tool suite, particularly M365 Copilot, GitHub Copilot, Microsoft Purview. Preferred: In-depth knowledge of agentic AI usage and guardrails from an end user and development perspective. Knowledge of infrastructure and engineering of client/server compute systems. Why work for us? The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights. The pay range for this position is between $136,000 - $190,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings. McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email. 50575

Requirements

Design and implement AI security controls
Evaluate inputs and outputs of enterprise AI tools
Design and implement technical guardrails and monitoring controls
Design, implement, and operate Data Loss Prevention (DLP) controls
Partner with engineering, AI/data science, and Digital Workspace teams
Evaluate emerging AI tools, models, and AI-assisted development platforms
Implement logging, monitoring, and alerting capabilities
Develop and enforce policies and technical controls

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Dental Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

Artificial Intelligence Generative AI Data Loss Prevention AI-assisted development tools Prompt filtering Response inspection Redaction Usage monitoring

Technical Program Manager, Generative AI Safety

Google

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

Generative AI

Machine Learning

Python

+1 more

Job Description

MINIMUM QUALIFICATIONS: * Bachelor's degree in a technical field, or equivalent practical experience. * 5 years of experience in program management. * 2 years of experience developing or launching products or technologies within safety, security, privacy, or a related area. * Experience with generative AI and machine learning * Experience managing multi-quarter technical programs involving distributed systems, machine learning pipelines, or infrastructure. * Experience designing cross-functional engagement models and operations to lead teams through the full execution lifecycle. PREFERRED QUALIFICATIONS: * Master's degree. * 7 years of experience in program or project management. * Experience in content safety, Trust and Safety, responsible AI, or product policy, including evaluating malicious threats at scale. * Experience driving alignment across a distributed landscape of stakeholders (e.g., central engineering, Trust and Safety, and various product teams) to land high-impact cross-functional efforts. * Experience driving and critiquing technical requirements for sensitive, scalable detection systems, including Machine Learning (ML) and Large Language Model (LLM) concepts (e.g., transformers, activations, and efficient training, deployment). * Understanding of adversarial dynamics, and prioritizing coverage gaps with a problem-centric mindset. ABOUT THE JOB: A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. RESPONSIBILITIES: * Lead complex, multi-quarter initiatives to expand our content safety infrastructure. Manage ambiguous issues, such as integrating specialized safety classifiers or building rapid response capabilities for AI abuse vectors. * Partner with cross-functional leaders to convert emerging threat intelligence and safety objectives into scalable, production-ready models and technical protections within our serving stack. * Orchestrate the strategy and execution of our Safety Engineering teams. Ensure our programs tangibly reduce abuse prevalence, improve user safety metrics, and optimize the person hours required for model training and deployment. * Manage global workflows, coordinating with regional teams to ensure continuous coverage, seamless handoffs, and timely integration and evaluation of safety models for business-critical Gemini releases. * Coordinate between Infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models.

Requirements

Bachelor's degree in a technical field
5 years of experience in program management
2 years of experience developing or launching products or technologies within safety, security, privacy, or a related area
Experience with generative AI and machine learning
Experience managing multi-quarter technical programs involving distributed systems, machine learning pipelines, or infrastructure

Benefits

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

Skills

Generative AI Machine Learning Python API Experience

Intermediate Backend Engineer, SSCS: AI Governance

GitLab

Full Time

$100,000 - $150,000*

4 days ago

Worldwide

Mid

API

GitLab

Backend Development

+2 more

Job Description

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Backend Engineer on the AI Governance team at GitLab, you'll help build a paid product designed for regulated enterprise organizations that need to audit, govern, and demonstrate compliance for AI agent usage inside GitLab. This is product work with direct customer impact. You'll contribute to features that support visibility into how AI agents and related tools are used, and you'll help lay the foundation for governance controls that enterprise customers rely on. You'll join a small team with clear product direction, technical guidance from experienced backend engineers, and meaningful ownership from the start. This role is well suited for an engineer with experience in backend development who writes solid tests and wants to grow by shipping real features in an evolving product area. You'll work in GitLab's all-remote, asynchronous environment, collaborating across teams as the AI Governance roadmap continues to expand. What you’ll do Implement well-scoped backend features across the AI Governance product area, including event normalization utilities, storage layer enhancements, API endpoint additions, export support, and registry integrations, delivering production-ready work that ships on schedule. Build and maintain automated test coverage for your work using RSpec or equivalent tools to improve reliability and support safe, consistent releases. Grow your knowledge of AI governance, agent-related product architecture, and integration patterns through hands-on delivery and teamwork so you can contribute more effectively as the roadmap evolves. Work closely with senior and staff engineers to deliver solutions that are reliable, maintainable, and aligned with the product direction and release goals. Work asynchronously with cross-functional partners and nearby engineering teams working on related governance and AI capabilities to help maintain smooth delivery across teams. Take ownership of your scoped work and deliver with a high level of follow-through in a fast-moving product area, closing tasks with clear status updates and consistent execution. What you’ll bring Demonstrated backend development experience building and shipping production features. Proficiency with Ruby on Rails and solid fundamentals in PostgreSQL. Experience building and maintaining automated test coverage with RSpec or an equivalent testing framework. Experience communicating clearly in writing with teammates in an async environment. Demonstrated ability to drive scoped work through completion and follow through on commitments. Experience with, or exposure to, audit event systems, telemetry pipelines, or compliance-focused tooling. Experience learning new technical domains and applying that understanding to product development. Additional experience with GraphQL APIs, event-driven architecture patterns, Python, or data-focused databases such as ClickHouse. About the team You'll join the AI Governance team within GitLab's Secure, Scale, and Compliance area. We focus on helping organizations gain visibility into and govern AI usage inside GitLab. Our work spans two broad problem spaces: visibility, such as audit events, usage tracking, and observability, and policy controls, such as controls that help protect projects and meet compliance requirements. We are building this team alongside a parallel AI Governance team, with both groups contributing to different parts of a fast-changing roadmap. You'll work with a distributed group of engineers and collaborate with adjacent AI and Continuous Delivery teams as we integrate governance capabilities more deeply into the platform. It's an interesting team for engineers who want to work on emerging product challenges at the intersection of AI, compliance, and large-scale enterprise software. For more on how related teams work, see Team Handbook Page. Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Requirements

Implement well-scoped backend features
Build and maintain automated test coverage
Grow knowledge of AI governance
Work closely with senior engineers
Collaborate across teams
Deliver production-ready work
Ship on schedule

Benefits

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

Skills

API GitLab Backend Development RSpec Ruby

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

Contract

$0.012k - $0.016k

4 days 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

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

Contract

$0.012k - $0.016k

4 days 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

4 days 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

4 days 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

4 days 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

4 days 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) - Spanish LATAM

Contract

$0.005k - $0.006k

4 days 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) - Spanish LATAM

Contract

$0.005k - $0.006k

4 days 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

4 days 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

4 days 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

4 days 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

4 days 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

Vice President, Model Risk Management

BNY Mellon

Full Time

$129.5k - $179k

4 days ago

United States

Worldwide