Safeguards Enforcement Analyst, Integrity & Authenticity

Anthropic · Remote-Friendly, United States; San Francisco, CA | New York City, NY | Washington, DC · Safeguards (Trust & Safety) · listed July 10, 2026

The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$285,000 – $330,000 USD
Requirements listed
6
Length
1,203 words

In the posting’s own words

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.

What it asks for · 6

  • 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

Also a plus

  • 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

What the job covers

  • 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

Tools and skills named

Security & compliance
  • Regulatory2×
  • GDPR
  • Security
Languages
  • Python
  • SQL
Models & research
  • LLM

Words the posting leans on

  • enforcement10×
  • experience9×
  • policy9×
  • election6×
  • surveillance6×
  • content5×
  • products5×
  • threat5×
  • tracking5×
  • actor4×
  • coordinated inauthentic4×
  • data4×
  • inauthentic behavior4×
  • influence operations4×
  • integrity4×
  • policy enforcement4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.