Curated AI safety and governance jobs

The role involves contributing to AI safety research with a focus on machine learning, analyzing solutions to safety questions, and developing novel algorithms to address complex AI safety problems.

The AI Red Teamer role involves probing frontier AI systems for vulnerabilities, designing attack strategies, and building safety evaluation infrastructure to ensure AI safety.

Expressions of interest for policy and engineering roles focused on frontier AI auditing, verification, and evaluation; relevant because it directly concerns AI governance and auditing of AI systems.

The Research Scientist role involves leading high-impact research to enhance the safety and reliability of frontier AI systems, focusing on areas like AI honesty, robustness, and transparency.

Research engineer role at CAIS focused on ML experiments, model training and evaluation, and safety-relevant research on robustness, transparency, and backdoor behaviors.

Research Scientist role studying latent structure and behavior in neural networks, with explicit emphasis on understanding as safety, safety-relevant tools, and internal red teaming.

Senior leadership role at RAND overseeing research on secure advanced AI systems, cyber capability evaluation, and policy frameworks governing AI, with direct policy and governance impact.

Founding engineer role building an AI-native cyberdefense platform, including AI systems and evaluations that measure performance against real cyber incidents and frontier AI labs.

Senior government affairs role leading Senate-focused AI governance and frontier AI safety legislative strategy for AIPN.

Mid-career government affairs role focused on House engagement and legislative strategy for AI policy, including drafting AI-related bill language and advancing responsible AI policy.

Senior operator role at the Center for AI Safety to own and execute high-stakes AI safety projects, including AGI risk campaigns and safety benchmark initiatives.

Lead a CSET research team on frontier AI issues, producing policy-relevant research on capabilities, risks, governance, and implications for policymakers.

Technical lead for ARIA’s multi-agent security programme, supporting research on AI agents operating and coordinating in untrusted environments, with explicit emphasis on AI red-teaming and security research.

Policy advocacy role briefing US policymakers on superintelligence risks and advancing AI-related governance action, including a campaign to prohibit superintelligence.

State organizer role building grassroots public-engagement and issue advocacy around the risks of advanced AI in New Hampshire or Iowa.

Senior digital organizing role for an AI policy advocacy nonprofit, running grassroots campaigns and constituent activation in support of responsible AI policy and legislative advocacy.

Senior systems administration role managing on-premise and cloud compute infrastructure for a nonprofit AI safety organization; relevant because it supports safe-by-design AI systems and AI-risk research infrastructure.

Computational biologist role focused on building evaluation frameworks and experiments for biological security problems using frontier AI systems.

Role building evaluation task pipelines and infrastructure for frontier model testing, including systems to prevent models from detecting evaluations.