Safeguards Enforcement Analyst, User Well-Being

Details

As part of the User Well-being team, this role supports the design and deployment of mental health guardrails for AI products. Responsibilities include iterating on detection systems, managing review queues, evaluating interventions, monitoring existing systems, and translating clinical guidance, data analyses, and legal or engineering constraints into improvements to detection, review, and response workflows.

The role covers harms including suicide, self-harm, disordered eating, AI sycophancy, and emotional dependence on AI. The position may involve exposure to explicit sexual, violent, or psychologically disturbing content.

Responsibilities

• Support the design and execution of interventions, define key metrics, and curate 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 the performance of interventions and detection systems 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 decision-making and workflows.

Requirements

• Experience in trust and 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 rubrics, review guidelines, or classification criteria for 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 identify 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 content moderation.
• Sound judgment in ambiguous, high-consequence cases and comfort making decisions and escalating appropriately when available signals are incomplete.
• 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.

Preferred Qualifications

• Subject matter expertise in mental health developed through academia, clinical practice, crisis intervention, trust and safety, or another related setting.
• Experience building or evaluating LLM-based classification systems.
• Experience using agentic tools such as Claude Code to scale analysis or automate recurring work.
• Experience working within crisis support.

Compensation

• Annual salary: $245,000–$285,000 USD.

Work Arrangement

• Remote-friendly within the United States.
• Staff are currently expected to work from one of the company's offices at least 25% of the time, although some roles may require more office time.
• Anthropic sponsors visas and makes reasonable efforts to obtain a visa for successful candidates, although sponsorship is not guaranteed for every role or candidate.