Safeguards Enforcement Analyst, Integrity & Authenticity

Anthropic; Friendly (MD); Hybrid; USD 285,000 - 330,000; Full time

Job summary

Anthropic is seeking a Safeguards Analyst focusing on Integrity & Authenticity to build and execute enforcement workflows, detect misuse of AI systems, and mitigate coordinated inauthentic behavior and election-related harms.

You’ll collaborate with engineering, policy, and legal teams to evolve policy enforcement, review content, and respond to escalations during critical events while maintaining safety as a core mission.

Qualifications

• Experience in trust & safety, policy enforcement, threat intelligence, or a related field focusing on influence operations, disinformation, or privacy harms.
• Experience standing up and scaling policy enforcement or content review workflows.
• Experience with generative AI products and writing prompts for content review and enforcement.
• Ability to identify emerging risks and communicate findings to cross-functional teams.

Responsibilities

• Design and architect automated enforcement systems and scalable review workflows.
• Partner with Engineering and Data Science to optimize detection models and enforcement systems.
• Review flagged content to drive enforcement improvements.
• Enforce usage policies addressing AI-enabled influence operations, disinformation, and targeted surveillance harms.
• Support Safeguards policy design with feedback from real enforcement scenarios.
• Stay current with AI policy enforcement best practices and evolving regulatory landscapes.

Skills

SQL

Python

Data analysis

Threat intelligence

Policy enforcement

Education

Bachelor's degree or higher in a relevant field

Tools

Open-source intelligence tools

OSINT workflows

Data visualization (Power BI/Tableau)

Job description

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 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

Compensation

Annual salary: $285,000 – $330,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas; however, we aren't able to successfully sponsor visas for every role and every candidate.