Safeguards Enforcement Analyst, User Well-being

Anthropic•Washington, DC

10d•$245,000 - $285,000•Hybrid

About The Position

As a Safeguards Analyst on the User Well-being team, you will be focused on supporting the design and deployment of mental health guardrails – iterating on detection systems, managing review queues, evaluating new interventions, and monitoring existing ones. Interventions range from steering how Claude responds in the conversation itself to in-product features that connect users to other resources. This work involves translating expert clinical guidance, internal data analyses, and legal or engineering constraints into concrete changes to how we detect, review, and respond. This team covers a broad set of interconnected harms including suicide, self-harm, disordered eating, AI sycophancy, and emotional dependence on AI. This position may expand into broader areas of user well-being enforcement over time. 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. In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

Requirements

Experience in trust & safety, product policy, content moderation, or a related field, with direct exposure to mental health, suicide and self-harm, or related well-being harm areas
Experience designing or running experiments, evaluations, or measurement studies to determine whether an intervention worked
Experience translating policy definitions into measurable form — the rubrics, review guidelines, or classification criteria, whether applied by human reviewers or automated systems
Experience managing or coordinating content review operations, including quality assurance and workflow management
Proficiency in SQL and/or other data analysis tools to measure intervention efficacy, monitor workflow health, and surface policy gaps
Experience working with generative AI products, including writing effective prompts for content review, classification, or evaluation
Experience turning open questions and data into concise and insightful analysis
Experience identifying emerging risks and communicating findings to cross-functional stakeholders
Understanding of the challenges involved in implementing product policies at scale in the content moderation space
Sound judgment in ambiguous, high-consequence cases, and comfort making a call and escalating appropriately when the available signal is incomplete

Nice To Haves

Subject matter expertise in mental health, whether developed in academia, clinical practice, crisis intervention, trust & safety, or other related settings
Experience building or evaluating LLM-based classification systems
Experience using agentic tools (e.g. Claude Code) to scale analysis or automate recurring work
Experience working within crisis support

Responsibilities

Support the design and execution of interventions, defining key metrics, and curating evaluation datasets
Partner with Engineering and Data Science teams to build, tune, and validate detection models for automated intervention systems, including threshold-setting and precision and recall tradeoffs
Monitor how interventions and detection systems perform over time
Review flagged content to drive enforcement and policy improvements
Support the development of in-product features that connect users to crisis resources, working with Product, Legal, and external partners on referral pathways and user-facing content
Support the Safeguards Policy Design team by providing detailed feedback on policy gaps based on real scenarios
Keep up to date with emerging AI policy and external research on AI's relationship to mental health, and use these to inform our decision-making and workflows