Safeguards Enforcement Analyst, Violence & Extremism
📍 Washington, United States
📍 New York City, United States
📍 San Francisco, United States
Used Tools & Technologies
LLM GenAIRequired Skills & Competences
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.
Security @ 3
Python @ 5
SQL @ 5
Data Science @ 3
Data Analysis @ 5
Generative AI @ 3
AI @ 3
Profiling @ 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
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.
This role focuses on building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. The work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, including weapons and dangerous technology, critical infrastructure attacks, violent extremism, and threats of violence.
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.
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 attention to novel or technically sophisticated misuse attempts and emerging extremist movements, ideologies, and mobilization 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 for accurate, consistent enforcement
- Keep up to date with emerging threats, terrorist and extremist movements, regulatory changes, and AI policy enforcement best practices, and apply these to inform workflows and evals
- Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent extremist activity
Requirements (Minimum qualifications)
- Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, violent extremism, 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 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 one or more high-stakes harm areas (weapons and dangerous technology, violent extremism, terrorism, autonomous systems, or critical infrastructure protection)
- Familiarity with relevant legal and regulatory frameworks governing dangerous technology, critical infrastructure, or domestic/international terrorism
- 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 distinguishing between educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization
- Familiarity with cross-platform threat analysis and OSINT techniques
Compensation
- Annual Salary: $285,000 - $330,000 USD
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: Will correlate with internal job level requirements for the position
- Location-based hybrid policy: Currently, staff are expected to be in one of our offices at least 25% of the time (some roles may require more time in office)
- Visa sponsorship: Anthropic states they do sponsor visas and will make reasonable efforts to support successful candidates, retaining an immigration lawyer to help
Company & application notes
- Anthropic is a public benefit corporation headquartered in San Francisco. They offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration.
- Guidance on Candidates' AI Usage: applicants are asked to review Anthropic's policy for using AI in the application process.
- Safety note: legitimate Anthropic recruiters contact candidates from @anthropic.com addresses and will not ask for money or banking information before the first day.