Curated roles
Explore roles at the intersection of AI policy, institutions, standards and governance work for advanced AI systems.
161 active roles found.
Co-director role leading ML4Good’s AI safety bootcamps, with major responsibility for governance curriculum, strategy, and new programme design focused on reducing AI risk.
Chief of Staff role supporting CAST’s Head of AI Policy, with direct responsibilities for AI policy strategy, policy briefs, research memos, and external governance engagement.
Academic programs leadership/management role at an AI law and policy think tank, building programs that support researchers working on AI governance, legal alignment, and risks from advanced AI.
Research role focused on frontier AI policy, governance, assurance, institutional readiness, and how AI testing/evaluation evidence informs institutional decisions.
Policy analyst role focused on technical AI governance for frontier AI, including safety standards, legislative analysis, cross-lab safety practices, and policy proposals.
Lead and manage working groups for a nonprofit focused on governance and misuse-risk reduction for AI-enabled biological tools, producing practical governance outputs and coordinating senior stakeholders.
Policy communications manager for Anthropic focused on AI security, governance, responsible scaling, and external communications about frontier AI regulatory and oversight issues.
Senior investigative role producing research and articles on AI company governance, safety practices, lobbying, political influence, and compliance with AI safety rules for Model Republic.
Analyst role producing analysis of AI loss-of-control incidents and threat models for government and AI safety stakeholders, with outputs aimed at informing policy and observatory development.
Contract translation role focused on translating AI safety and governance materials and technical/policy content into Chinese, Spanish, or Japanese.
Technical policy-facing role advising governments and international institutions on frontier AI evaluation, adoption, and safe deployment, with explicit connection to AI safety standards and model testing.
Research resident role at RAND CAST focused on frontier AI policy, governance analysis, and policy deliverables for technical and senior policy audiences.
Senior political/public opinion research role on Anthropic's Central Policy team, building polling and message-testing capabilities to inform AI policy strategy and campaigns.
State and local government affairs lead focused on advancing AI policy, legislation, and regulation across Western states, including legislative tracking, stakeholder engagement, and representing Anthropic's positions.
Senior research leadership role focused on AI compute verification, including adversarial testing, verifiable claims, and compute governance-related research.
State and local government affairs lead focused on advancing AI policy, legislation, and regulation across the Midwest, with direct responsibility for AI-related legislative and regulatory engagement.
Program Manager for an AGI Preparedness Network, leading delivery of fellowship and collaboration programs focused on advanced AI risks, preparedness, governance, and field-building.
Research role building zero-knowledge verification tools for AI datacenters and frontier model inference, with direct work informing policymakers on how verification can support AI governance and international cooperation.
Lead U.S. policy for frontier AI verification, translating AI governance and regulation into verifiable claims and engaging policymakers, standards bodies, and other stakeholders.
Model Policy Manager role at OpenAI focused on defining policies for safe frontier model behavior in U.S. government and national security contexts, including evaluations and policy gap analysis.