AI Hiring Index

Anthropic · Operations · Unspecified · Posted 2026-07-10

Safeguards Enforcement Analyst, Integrity & Authenticity

Anthropic · San Francisco, CA | New York City, NY | Washington, DC · $285k–330k base

This range's midpoint is above 95% of posted operations ranges at AI companies right now. See the salary index.

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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 Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals.

Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.

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 political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events.

Key responsibilities

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

Minimum qualifications

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

Preferred qualifications

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 w …

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