Safeguards Enforcement Analyst, Safety Evaluations

Anthropic•Washington, DC

13h•Hybrid

About The Position

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. 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. You'll run and monitor evaluations, drive mitigations when issues surface, coordinate the creation of new evals, and help build the processes and documentation that allow the team to scale this work over time. This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams to break new ground and drive work to completion. This work is deeply cross-functional — you'll partner closely with policy experts, Safeguards engineering teams, and many other stakeholders throughout the organization to ensure our evaluations are comprehensive and current, and that findings translate into meaningful improvements to model behavior.

Requirements

Have experience in trust and safety, content operations, policy enforcement, or a related operational role at a technology company
Thrive in ambiguous, fast-moving environments — you're energized rather than frustrated when the path forward isn't clearly defined and you need to figure it out as you go
Have experience building processes, workflows, or programs from scratch (zero-to-one work), not just maintaining existing ones
Have strong program management instincts, naturally creating structure around complex, multi-stakeholder efforts by tracking timelines, dependencies, and deliverables to keep work on track
Are eager to expand your technical toolkit, including adopting internal tools and AI-assisted workflows (e.g., Claude Code) to accelerate your work
Can manage multiple concurrent workstreams across different domain areas without losing track of details — strong prioritization and context-switching are essential when deadlines and priorities shift quickly
Are a strong generalist comfortable moving fluidly across different types of work and switching contexts throughout the day
Are comfortable making judgment calls with incomplete information and escalating appropriately when needed
Communicate clearly and concisely, both in writing and cross-functionally

Nice To Haves

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

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
Build out processes and frameworks for creating product-specific evaluations as Anthropic's product surface area expands
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