Curated AI safety and governance jobs

Policy role focused on AI governance and public-interest advocacy, including legislative drafting, coalition-building, and policy research for responsible AI development.

Legal/policy role focused on AI governance, security governance for AI systems, and translating regulatory requirements into model alignment and product design.

Full-stack product engineering role building Weval and related infrastructure for participatory AI evaluation and democratic AI governance, including tools used by AI labs, governments, and civil society to assess frontier models.

Faculty role leading an independent research program and teaching/mentoring students, with explicit ability to focus on AI safety research and a college focus that includes AI security governance.

The Chief of Staff will manage operations and strategic projects for the CEO at the General-Purpose AI Policy Lab, focusing on AI policy and governance.

Project manager role overseeing operational delivery of AI governance training programs across ASEAN, including logistics, stakeholder coordination, and training content improvement for government and civil society audiences.

Technical lead role owning an AI security hardware workstream focused on hardware architectures for verifying and securing advanced AI systems, with ties to AI safety and compute governance.

Fellowship focused on AI governance, policy, and oversight, including standards-setting, interdisciplinary AI evaluations, and engagement with regulators.

Researcher role focused on technical AI governance and regulation, including threat modeling, model evaluation, and policy briefings to reduce existential risks from advanced AI.

Senior leadership role at CSIS leading the Wadhwani AI Center's AI governance research agenda, producing policy papers on AI policy and governance, and managing program operations.

One-year postdoctoral policy fellowship on the geopolitics of AI, focused on AI norms, standards, regulatory frameworks, and strategies for managing AI-related risks in international security contexts.

Manages an AI Safety Fellowship and supports government partnerships, policy communications, and ecosystem development for AI safety governance in Asia.

A 16-week remote fellowship conducting peer-reviewed AI safety research in interpretability, governance, evaluation, and alignment.

Lead the engineering function at Transluce, focusing on AI systems and their societal impacts.

Research scientist role focused on post-training methods, interpretability, and evaluations to improve frontier AI model safety, robustness, and alignment.

Remote AI red team analyst role focused on adversarial testing of AI models, safety violations, bias, and policy compliance for frontier AI labs.

The role involves probing AI models for vulnerabilities, analyzing their behavior under attack scenarios, and investigating system misuse to recommend mitigations.

The Research Engineer will develop open-source verification tools and infrastructure for AI-assisted formal verification to ensure bug-free code.

A 5-day London incubator for people building AI safety projects and organizations, with funding for selected teams.