Curated AI safety and governance jobs

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.

Frontier AI and biosecurity researcher role focused on threat modeling, benchmark development, red-teaming, and mitigation strategies for biological risks from AI systems.

Engineer role focused on building automated evaluation frameworks, benchmark integration, and safety products for frontier large models and AI agent systems.

Frontier AI safety research role focused on safety benchmarks, red-teaming, quantitative risk modeling, and mitigation methods for large models and AI agents.

Research role focused on frontier AI and chemistry safety, including threat modeling, benchmark development, red-teaming, and mitigation strategies for chemical security governance.

Technical specialist in R&D Customer Engineering focused on implementing AI governance solutions, including AI inventories, risk assessments, compliance workflows, model oversight, and responsible AI programs.

Senior customer-facing solutions architecture role leading AI governance initiatives, with responsibilities spanning AI risk management, responsible AI, compliance operations, and translating AI regulations into enterprise platform capabilities.

Cyber-focused AI red teaming role evaluating model cyber capabilities, safeguards, and abuse risks in agentic systems, with direct responsibility for safety evaluations and risk assessments.

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.

Research scientist role leading frontier AI safety risk modeling and governance for Google DeepMind’s Frontier Safety Framework, including risk assessment, safeguards evaluation, and external safety reporting.

Research engineer role on DeepMind's Frontier Safety Mitigation team building safety mitigations, evaluations, red-teaming, monitoring, and defenses against severe misuse and agentic risks for frontier models.

Research role on OpenAI’s Frontier Assurance team focused on external evaluations, embedded audits, safeguard testing, and technical assessments of frontier AI risks.

Policy analyst role focused on technical AI governance for frontier AI, including safety standards, legislative analysis, cross-lab safety practices, and policy proposals.

Engineering role building open-source tools and web apps for AI model evaluation and understanding, in direct collaboration with AI Safety Institutes and evaluation researchers.

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.

Research engineer role building AI evaluation and alignment auditing tools, including Petri audits, scanners, monitors, LLM judges, and reliability measurement for safety-focused evaluations.

Research engineer role focused on frontier AI safety mitigations, including misuse detection, automated evaluation, threat modeling, red-teaming, and adversarial robustness for agentic systems.