Remote AI Governance Jobs in United States

Requirements

• Develop AI tools alongside Citizen Developers and Technology
• Determine the right tool to solve the problem
• Run scenario simulations and red-team exercises
• Establish best practices and standards for the review and deployment of AI tools
• Assist with coordination of the AI Controls Council
• Produce quarterly AI Controls Intelligence Report for senior leadership
• Co-sign every tool submission before it is approved for deployment to colleagues
• Identify risks sooner and work with business to solve problems

Benefits

• 401k Matching
• Certification Support
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours
• Gym Membership

Skills

Requirements

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Physics, or a related STEM discipline, or equivalent practical experience
• 1 year of experience initiating, scoping, and executing research in AI safety, alignment, or mechanistic interpretability
• Experience evaluating, steering, red teaming, or implementing empirical safeguards on Large Language Models (LLMs) or frontier systems
• Experience in Python or C++, deep learning frameworks (e.g., JAX, PyTorch), and agentic workflows or tools
• First-author publications at machine learning conferences (e.g., NeurIPS, ICML, ICLR, or COLM)
• Experience in interdisciplinary research bridging cognitive science, computer science, machine learning, and technological ethics to address systemic AI risks
• Deep expertise in post-training alignment, reinforcement learning, reasoning models, and agentic or mechanistic interpretability to diagnose machine behaviors
• Demonstrated track record of translating theoretical alignment and safety findings into scalable, production-grade mitigations on live frontier models

Benefits

• 401k Matching
• Health Insurance
• Flexible Hours
• Paid Time Off
• Stock Options
• Training Budget

Skills

Requirements

• Set technical direction for projects developing and applying safety methods and pipelines
• Engage with stakeholders to translate mission needs and operational constraints into actionable safety requirements
• Lead projects and programs to design, implement, and validate model evaluation for cutting edge AI
• Translate cutting-edge research into mission-relevant tools and prototypes

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Lead, mentor, and grow a team of AI Security Engineers and Analysts.
• Translate enterprise AI security strategy into actionable roadmaps, programs, and measurable outcomes.
• Set clear objectives, performance metrics, and accountability for AI security initiatives.
• Drive cross-functional collaboration across security, engineering, data science, legal, privacy, and compliance teams.
• Oversee workforce planning, hiring, onboarding, and succession planning.
• Foster a culture of continuous learning, innovation, and responsible AI adoption.
• Design and oversee the enterprise Responsible AI and AI Security governance framework.
• Develop and maintain AI security policies, standards, and operating procedures.

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Develop and implement the enterprise AI governance framework, policies, standards, and procedures
• Establish AI risk management processes aligned with regulatory expectations and industry frameworks
• Define AI governance roles, responsibilities, accountability structures, and escalation processes
• Conduct and oversee AI risk assessments for internally developed AI, third-party platforms, vendors, and customer-facing AI solutions
• Evaluate AI risks related to security, data exposure, bias, explainability, model drift, and regulatory compliance
• Partner with security and architecture teams to define compensating controls and risk treatment plans
• Maintain the enterprise AI inventory and AI risk register
• Monitor evolving AI regulations, supervisory guidance, and industry expectations

Benefits

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

Skills

Requirements

• Lead large, multi-year research and development programs
• Shape national technical direction
• Mentor interdisciplinary teams
• Collaborate closely with software engineers
• Serve as a key interface with sponsors and stakeholders
• Align PNNL's research agenda with evolving mission requirements
• Drive real-world impact
• Contribute to impactful, mission-focused applied R&D projects

Benefits

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

Skills

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Risk Management, Cybersecurity, Data Science, Healthcare, or a related field.
• Minimum of 3 years of experience in AI governance, data governance, IT risk, compliance, cybersecurity, or regulated environments.
• Strong understanding of AI governance concepts and risk domains (bias, fairness, explainability, privacy, security).
• Familiarity with AI risk and governance frameworks (e.g., NIST AI RMF, Responsible AI principles).
• Ability to translate policy and regulatory requirements into operational processes.
• Effective stakeholder management and cross-functional collaboration.

Benefits

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

Skills

Requirements

• Experience in AI/ML or GenAI governance, model risk management, or technology risk management.
• Strong background in risk assessment, control evaluation, and issue remediation.
• Familiarity with enterprise governance frameworks and audit concepts.
• Ability to clearly articulate complex technical and governance concepts to non-technical stakeholders.
• Experience working in highly regulated or enterprise-scale environments preferred.
• Performs analytical tasks on structured and unstructured data to extract actionable business insights.
• Participates in the data gathering, data processing and data mining of large and complex datasets.
• Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• 5+ years of hands-on programming in Python, Node.js, or Go
• 1+ years working with AWS, Kubernetes, and RDS
• Proven experience in customer-facing roles
• B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

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

Skills

Requirements

• 5+ years of hands-on programming in Python, Node.js, or Go
• 1+ years working with AWS, Kubernetes, and RDS
• Proven experience in customer-facing roles
• B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

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

Skills

Requirements

• 5+ years of hands-on programming in Python, Node.js, or Go
• 1+ years working with AWS, Kubernetes, and RDS
• Proven experience in customer-facing roles
• B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

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

Skills

Requirements

• 5+ years of hands-on programming in Python, Node.js, or Go
• 1+ years working with AWS, Kubernetes, and RDS
• Proven experience in customer-facing roles
• B.Sc. in Computer Science / Engineering or equivalent experience

Benefits

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

Skills

Requirements

• Define trustworthy and untrustworthy AI behavior
• Establish telemetry, tracing, logging, and alerting requirements for AI systems
• Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended
• Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors
• Translate governance principles into technical and operational requirements
• Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries

Benefits

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

Skills

Requirements

• Define trustworthy and untrustworthy AI behavior
• Establish telemetry, tracing, logging, and alerting requirements for AI systems
• Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended
• Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors
• Translate governance principles into technical and operational requirements
• Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries

Benefits

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

Skills

Requirements

• Define and maintain a multiyear enterprise strategy spanning Cybersecurity, Physical security, Data analytics governance, and AI and automation risk.
• Establish and maintain the organization's AI governance framework, including Acceptable and responsible AI use, Data privacy, security, and ethical guardrails.
• Serve as the escalation point for AI-related risk, misuse, or policy exceptions.
• Balance security needs with business needs in a manner that supports the delivery of healthcare services nationwide.
• Partner with IT, data and analytics, facilities, legal, compliance, and business leaders to support execution.

Benefits

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

Skills

Requirements

• Guide staff through the full lifecycle of AI/ML use case intake
• Support risk assessments and governance reviews
• Coordinate with enterprise teams to maintain a robust AI/ML inventory
• Ensure completeness and accuracy of intake records and documentation
• Serve as an AI/ML governance liaison between clinical, research, operational, and engineering teams
• Develop tools and processes that strengthen governance practices and lifecycle monitoring

Benefits

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

Skills

Requirements

• Define trustworthy and untrustworthy AI behavior
• Establish telemetry, tracing, logging, and alerting requirements for AI systems
• Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended
• Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors
• Translate governance principles into technical and operational requirements
• Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries

Benefits

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

Skills

Requirements

• Must be a US citizen
• Bachelor's degree in Public Policy, Law, Ethics, Computer Science, Data Science

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

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

Benefits

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

Skills

Requirements

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

Benefits

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

Skills

Requirements

• 12+ years of experience in risk management, technology, model development or model risk roles
• Keen understanding of risk governance, and ability to navigate a complex organization
• Exceptional communication skills, with the ability to interface with senior stakeholders in other functional areas in the firm
• Experience with change management and build-out of systems, processes and frameworks
• Risk and control mindset: ability to ask incisive questions, identify and assess risks
• Exceptional organization skills and understanding of corporate governance

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Master's degree in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field
• 1 year of experience in the job offered or in a related role
• Prior experience with Master's degree or 3 years of experience with Bachelor's degree
• Working with Counterparty Credit Risk Models
• Performing-testing analysis of statistical models
• Scripting with Python and working with relational databases and SQL
• Pricing and risk analysis of derivative products
• Performing model development, testing, validation, and issue remediation

Benefits

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

Skills

Requirements

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

Benefits

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

Skills

Requirements

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

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work

Skills