Curated AI safety and governance jobs

Senior policy role translating AI safety research into diplomatic and policymaker-facing materials, with direct focus on AI governance, regulations, and standards in Korea and Japan.

Infrastructure engineer for Anthropic’s Safeguards research team, building tooling, pipelines, and evaluation/scoring workflows that support misuse detection and safety research for frontier AI systems.

Lead role focused on frontier AI risk intelligence, abuse/misuse detection, risk frameworks, and mitigation guidance to improve safety readiness for OpenAI products.

Research Engineer role focused on safety oversight for deployed generative AI models, including automated evaluations, misuse detection, and monitoring model behavior at scale.

Research engineer role on DeepMind's Safety Oversight team focused on monitoring deployed model safety and alignment, building classifiers and data pipelines to detect misbehavior, misuse, and coordinated harms.

Cybersecurity Engineer building infrastructure and tooling for AI security evaluations, adversarial testing, and attack simulations to assess and improve the resilience of AI-powered systems.

Senior research scientist role focused on AI safety evaluations, red-teaming, and technical research to quantify and mitigate AI risks in high-impact domains.

Research engineer role on DeepMind’s AGI Safety and Alignment Team, focused on alignment methods, adversarially robust control systems, and interpretability for frontier AI models.

Research engineer role on DeepMind’s AGI Safety and Alignment Team focused on alignment methods, adversarially robust control systems, interpretability, and frontier model safety.

Software engineer for xAI’s evals platform, building systems to measure model capabilities and behaviors and turn quality, truthfulness, and safety into measurable criteria.

Contract infrastructure engineer role building and scaling the Loss of Control Observatory’s data pipelines, LLM-based classification systems, and monitoring dashboard for AI safety monitoring.

Research program management role focused on adversarial model research, safety and robustness evaluations, red-teaming, and identifying failure modes in advanced AI systems.

Research Engineer / Research Scientist role focused on empirical AI safety research for frontier AI systems, including experiments on LLMs, training/evaluation tooling, datasets, and benchmarks.

Research engineer internship focused on AI safety-relevant empirical research on LLMs, including AI security, machine ethics, AI alignment, and benchmarking AI risks.

Voluntary board member role providing governance, oversight, and strategic guidance for ERA’s frontier AI risk mitigation work, with explicit emphasis on AI safety and AI governance experience.

Policy Advisor/Senior Policy Advisor role focused on building campaigns to pass state AI laws, supporting AI policy development, and helping implement AI legislation affecting AI development and safety.

Research fellowship conducting independent AI governance research to inform high-stakes policy and strategic decisions, including risk management, threat modeling, technical governance, and frontier AI regulation.

Federal policy role focused on AI policy and legislative engagement with the U.S. Senate and Administration, including shaping AI-related legislation and advancing AI governance priorities.

Associate Director role at the Atlantic Council GeoTech Center leading AI and emerging technology policy work, with substantial responsibility for AI governance, responsible AI, and related policy briefs, convenings, and partnerships.