Safeguards Enforcement Analyst, Integrity & Authenticity

About the role

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.

What you’ll do

• Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
• Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems
• Review flagged content to drive enforcement and policy improvements
• Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups
• Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
• Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows

What they’re looking for

Select a requirement to inspect fit, evidence or application context.

• Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms
• 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
• 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
• A field relevant to the role as demonstrated through coursework, training, or professional experience

Helpful, not always essential

• Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns
• Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis
• Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms
• Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale
• Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions
• Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR)
• Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues
• Proficiency in Python for data analysis and automation
• Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments
• 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:
• $285,000—$330,000 USD