Safeguards Enforcement Analyst, Safety Evaluations

About the role

Anthropic’s Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As a Safeguards Enforcement Analyst focused on Safety Evaluations, you'll play a central role in ensuring our models meet safety and policy standards before and after launch.

Responsibilities

• Support model launch readiness by running evaluations, monitoring and interpreting results, and surfacing regressions or unexpected behavior changes to relevant stakeholders
• Partner closely with policy and domain experts throughout the evaluation lifecycle — from identifying risks and scoping the right evaluation approach, to coordinating creation of new evals and ensuring existing ones remain current with evolving policies, threat vectors, and model capabilities
• Work with cross-functional stakeholders to help manage evaluation outcomes, including interpreting results and driving mitigations where needed
• Think strategically about eval quality to build processes and eval paradigms that keep evaluations unsaturated, high-signal, and insightful as models improve
• Help design and scope tooling improvements that accommodate evolving eval needs and expand self-serve eval creation and iteration for non-technical users
• Write and maintain rigorous documentation for evaluation creation, execution, and interpretation as the team builds out eval tooling and processes

Requirements

• Experience in trust and safety, content operations, policy enforcement, or a related operational role at a technology company
• Strong program management instincts, naturally creating structure around complex, multi-stakeholder efforts by tracking timelines, dependencies, and deliverables to keep work on track
• Strong prioritization and context-switching are essential when deadlines and priorities shift quickly
• Comfortable moving fluidly across different types of work and switching contexts throughout the day
• Eager to expand your technical toolkit, including adopting internal tools and AI-assisted workflows (e.g., Claude Code) to accelerate your work
• Communicate clearly and concisely, both in writing and cross-functionally

Qualifications

• Experience building processes, workflows, or programs from scratch (zero-to-one work), not just maintaining existing ones
• Strong generalist comfortable moving fluidly across different types of work and switching contexts throughout the day
• Comfortable making judgment calls with incomplete information and escalating appropriately when needed
• Communicate clearly and concisely, both in writing and cross-functionally

Skills

• Experience operating under tight, high-stakes timelines — such as product launch cycles, incident response, or regulatory deadlines — where information and priorities can shift with little notice
• Experience coordinating across engineering, policy, and product teams to translate findings into concrete action
• Experience building and maintaining SOPs, runbooks, and operational documentation in fast-changing environments
• Proficiency with data tools (SQL, dashboards, spreadsheets) sufficient to maintain and improve workflows
• Comfort working with sensitive content areas as part of eval creation or enforcement review responsibilities

Benefits

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 $230,000—$270,000 USD

Pay

Annual Salary $230,000—$270,000 USD

Schedule

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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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. Come work with us!

Guidance on Candidates' AI Usage

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