Curated AI safety and governance jobs

Research engineer role on DeepMind's Frontier Safety Mitigation team building evaluations, red-teaming, monitoring, and mitigations to reduce misuse and dangerous capabilities in frontier AI models.

Research role focused on AI ethics and policy, with responsibilities for identifying AI capability risks and building operational frameworks and evaluation protocols to mitigate model risk.

Research role on Microsoft’s Futures Team focused on frontier risk and alignment, including frontier safety, normative model behaviour, alignment frameworks, evaluations, and mitigation pathways.

Senior ML engineer role building product experiences, evaluation systems, and trustworthy language-model workflows for research and high-stakes decision-making; relevant because it explicitly emphasizes careful evaluations, process supervision, and safer AI systems.

Senior virology and biosecurity role at Google DeepMind focused on biosecurity mitigation, biology evaluations, and protecting frontier AI models from biological misuse.

Senior programme role leading The Elders’ AI work, centered on international AI governance, policy strategy, stakeholder engagement, and impact monitoring.

Senior security engineer role on DeepMind's Agentic Red Team focused on adversarial testing of AI agents, prompt injection, exploit development, and automated red-teaming frameworks for model safety.

Research positions in NLP and AI with a strong emphasis on trustworthy and safe AI, including agent reliability, evaluation science, interpretability, red-teaming, and robustness.

Senior governance role at DeepMind focused on technical AI governance, standards, government model evaluations, incident disclosure, and translating regulatory developments into launch and compliance practices.

Remote researcher role producing public reviews of AI benchmarks, evaluating methodologies and implications for AI capabilities; adjacent to AI safety via model evaluations and capability assessment.

Senior research management role supporting AI safety programmes, including scoping and reviewing research, mentoring researchers, and running red-teaming and proposal development sessions focused on reducing AI risk.

Research scientist role at a non-profit AI safety lab focused on theoretical and empirical work on LLM-based agents, loss-of-control risks, and safety mitigations.

Lead development of a security standard for frontier AI datacenters, including control mappings, overlays, and adoption guidance for labs and government stakeholders.

Senior technical role building and securing frontier AI datacenter infrastructure, including threat modeling and red-teaming against nation-state adversaries.

Senior technical role on Cohere’s Safety for Agents team focused on data generation, post-training algorithms, and evaluation methods to improve safety, trustworthiness, and security of LLMs and agentic models.

Research scientist role at Resolution focused on technical AI alignment research, including empirical and theoretical work on scalable oversight and related alignment problems.

Research Engineer role at an ASI alignment lab, building research automation and evaluation infrastructure to support alignment research and frontier-model experiments.

Senior research engineer role on Cohere’s Safety / Modelling Safety and Trust team building data tooling and pipelines for training and evaluation data to support safer, more reliable models.

Research role focused on evaluating frontier AI models on real-world tasks, building benchmarks and rubrics, and analyzing model performance; directly relevant to AI evaluations and safety-adjacent capability assessment.