Remote AI Safety Jobs

Lead enforcement operations to detect and mitigate misuse of Anthropic AI systems for cyberattacks, malware, and offensive exploitation, including managing a team and shaping enforcement strategy.

Frontier AI red teaming role focused on attacking cyber safeguards, designing attack strategies, and feeding results into safety/alignment evaluations and deployment decisions.

Part-time technical advisor role for AI safety research on fine-tuning and evaluations, advising on benchmark design, generalization testing, and validity of welfare/capability evals for open-weight models.

Lead Talos Network’s AI governance incubator, recruiting and supporting participants to launch new European AI governance initiatives and mapping field gaps in frontier AI governance capacity.

Policy role in Anthropic's Safeguards organization focused on conventional weapons: defining policy boundaries, building threat models and evaluations, and operationalizing enforcement for model misuse prevention.

Research engineer role building technical prototypes for AI verification mechanisms, with direct links to policymakers and real-world AI governance.

Project manager role leading pilot audits for frontier AI systems, focused on building AI auditing methodologies, assessment tools, and industry standards for third-party safety and security audits.

Government affairs and public policy lead covering the Middle East, with direct responsibility for AI policy, regulation monitoring, and advocacy related to responsible AI adoption.

Associate role on Faculty’s AI Safety team supporting delivery of frontier model evaluations, AI safety red teaming, and related client projects for government and industry.

Senior privacy engineering role at Anthropic focused on building privacy-preserving systems for AI training and inference, translating AI/privacy regulations into technical controls, and conducting privacy reviews and threat modeling for new models and features.

One-year senior fellowship placed at the California Department of Technology to advise on AI policy and governance, with explicit focus on frontier AI safety, risk management, transparency, and California AI safety legislation.

Machine Learning Engineer focused on AI safety solutions, including adversarial testing, model evaluation, robust inference, and monitoring for secure deployment of AI systems.

Software engineering role on Perplexity’s Model Behavior team focused on prompt/context engineering, model behavior shaping, failure-mode analysis, and some evaluation work for LLM systems.

Research Scientist role focused on AI evaluation, language model understanding, robustness, red teaming, and alignment for LLM evaluation infrastructure.

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.

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.

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.

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.