Safeguards Enforcement Analyst, Cyber Harm

Anthropic · Safeguards (Trust & Safety)

Pay: $285,000–$330,000/yr
Where: San Francisco, CA | New York City, NY | Washington, DC
Posted: Jul 10

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 an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations.

What you'd do

Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies
Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders
Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios
Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall
Maintain high accuracy and consistency standards across review queues
Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions

What they want

Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
Experience performing content review, abuse investigations, or policy enforcement at volume
Proficiency in SQL and/or Python for data analysis and threat detection
Experience identifying emerging risks 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