As an Enforcement Analyst, you will review content and execute enforcement actions across our products and services, focusing on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. The role involves reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation, with potential expansion into broader enforcement areas.
Safeguards Enforcement Analyst, Cyber Harm en Anthropic
Híbrido - Remote-Friendly, United States
Más vacantes en AnthropicSalary
USD 285,000 - 330,000
Requirements
Skills
- 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
- Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company
- Experience with large language models and an understanding of how AI technology could be misused for cyber operations
- Experience operating within abuse monitoring programs or enforcement review systems
- Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
- Experience working with government agencies, regulated environments, or information sharing communities
Responsibilities
- 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 elevate 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
Technologies
SQLPythonGenerative AI products
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