Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Data Analysis @ 5
Data Science
GenAI
Generative AI @ 3
LLM
Profiling @ 3
Python @ 5
SQL @ 5
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As a Safeguards Enforcement Analyst focused on Conventional Weapons, you will detect and mitigate attempts to misuse Anthropic's AI systems to facilitate real-world harm involving conventional weapons and dangerous technology. The role involves building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evaluations across technically demanding policy areas.
The role may involve exposure to explicit content, including violent, graphic, hateful, or psychologically disturbing material.
Responsibilities
- Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy.
- Develop and maintain evaluations that measure model performance, 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 identify policy gaps, with particular attention to novel or technically sophisticated misuse attempts and 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.
- Track emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply them to workflows and evaluations.
- Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity.
Requirements
- Deep, applied expertise in weapons systems, with the ability to translate complex technical evidence into 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 establishing and scaling policy enforcement or content review workflows.
- Proficiency in SQL and/or other data analysis tools for drawing insights from large datasets and monitoring enforcement workflow health.
- Experience identifying emerging risks and threat actors and communicating findings to Product, Policy, Engineering, Legal, and other stakeholders.
- 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 content moderation.
Preferred Qualifications
- Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection.
- Familiarity with legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure.
- Experience developing evaluations or red-teaming AI systems, particularly for harmful content or policy enforcement use cases.
- Experience with threat actor profiling and threat intelligence frameworks such as 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 distinguishing general educational content from genuine operational uplift, and protected speech from genuine incitement or mobilization.
- Familiarity with cross-platform threat analysis and OSINT techniques.
Education and Logistics
- Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience.
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
- Minimum years of experience: Requirements correlate with the internal job level.
- Location-based hybrid policy: Staff are expected to be in one of the company's offices at least 25% of the time, although some roles may require more office time.
- Anthropic sponsors visas, although sponsorship may not be available for every role or candidate. The company retains an immigration lawyer to assist with visas.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
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