Safeguards Enforcement Analyst - Conventional Weapons
Job Description
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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.
Key responsibilities
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 escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity
Minimum qualifications
Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions
Experience in policy enforcement, threat intelligence, counterterrorism, 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
Preferred qualifications
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, defense, counterterrorism, or a relevant regulatory environment
Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization
Familiarity with cross-platform threat analysis and OSINT techniques
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Anthropic
View Company ProfileAnthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable AI systems. Founded in 2021 by former OpenAI executives, the company operates as a Public Benefit Corporation (PBC), which legally binds them to prioritize safety and social good alongside profit. Their flagship product is 'Claude', a sophisticated AI assistant designed to be helpful, honest, and harmless. Anthropic distinguishes itself with 'Constitutional AI', a training method where the AI is taught to follow a specific set of ethical principles (a constitution) to avoid harmful or biased outputs.
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