Curated AI safety and governance jobs

Contract role focused on monitoring and enforcing abuse on AI products, including building detection, review, and enforcement systems for high-risk harms.

Engineering fellowship supporting AI abuse detection, red teaming, and related research/engineering work across software, data, and ML concentrations.

Fellowship focused on adversarial red teaming and model evaluations for AI systems, identifying vulnerabilities, safety risks, and failure modes.

Machine Learning Engineer building AI safety and security systems, including abuse detection, frontier model evaluations, and red teaming workflows.

The AI Red Teamer role involves evaluating the security and resilience of advanced AI systems through red team assessments, adversarial testing methodologies, and identifying vulnerabilities to ensure safe deployment.

Research fellowship focused on investigating emerging threats to AI systems using open-source intelligence and targeted investigation, with direct connection to adversarial red teaming and model evaluations.