Safeguards Enforcement Analyst, Conventional Weapons

Safeguards Enforcement Analyst, Conventional Weapons

New York City, NY;
Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

As a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas.

Important context for this role:
In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature.

Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy

Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements

Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations

Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics

Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios

Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content

Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals

Identify and elevate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity

Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions

Experience in policy enforcement, threat intelligence, counter terrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation

Experience standing up and scaling policy enforcement or content review workflows

Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health

Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams

Experience working with generative AI products, including writing effective prompts for content review and enforcement

Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space

Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection

Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure

Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases

Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK)

Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments

Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm

Proficiency in Python for data analysis and workflow automation

Background in law enforcement, national security,…