Skip to main content
anthropic logo

Safeguards Enforcement Analyst, Conventional Weapons

anthropic
2 months ago
Full-time
On-site
San Francisco, CA | New York City, NY | Washington, DC
$245,000 - $330,000 USD yearly
Moneyboard classification: Published range reaches threshold
Reported USD annual base: $245,000–$330,000
Original source: Greenhouse

About Anthropic

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.
About the role

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

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000—$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: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yoursel