Safeguards Enforcement Analyst, Integrity & Authenticity

Anthropic; Maryland; Hybrid; USD 285,000 - 330,000; Full time

Job summary

Anthropic is seeking a Safeguards Analyst focusing on Integrity & Authenticity to build and run enforcement workflows for our AI products. You will detect and mitigate misuse, including coordinated inauthentic behavior and election-related surveillance, with exposure to sensitive content.

The role may involve weekend/holiday escalations around major events. We value experience in trust & safety, policy enforcement, and data analysis, plus SQL and Python skills, to scale our policies across

Qualifications

• Experience in trust & safety, policy enforcement, threat intelligence, or related field with focus on influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy harms.
• Experience standing up and scaling policy enforcement or content review workflows.
• Proficiency in SQL or other data analysis tools to draw insights from large datasets.
• Ability to identify emerging risks and communicate findings to diverse stakeholders (Product, Policy, Engineering, Legal).
• Experience with generative AI products, including writing effective prompts for content review and enforcement.
• Understanding challenges of implementing product policies at scale, including content moderation.

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

Skills

Trust & Safety

Policy Enforcement

Threat Intelligence

Data Analysis

SQL

Cross-functional Collaboration

Generative AI

Policy at Scale

Communication Skills

Education

Bachelor's degree

Tools

Python

Job description

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 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.

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

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

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. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long‑term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.