Safeguards Enforcement Analyst, User Well‑being, is part of Anthropic’s Safeguards team focused on mental health guardrails. The role supports design and deployment of interventions, builds and tunes detection models, monitors performance, reviews flagged content for enforcement, and collaborates with product, legal, and external partners to connect users to crisis resources. The analyst translates policy definitions into measurable forms, manages review operations, and provides feedback to the Safeguards Policy Design team. The position emphasizes cross‑functional collaboration and staying current on AI policy and mental health research.
Safeguards Enforcement Analyst, User Well-being en Anthropic
Remoto - United States
Más vacantes en AnthropicSalary
USD 245,000 - 285,000
Requirements
Skills
- 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
- 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
Technologies
SQLData analysis toolsGenerative AI productsLLM-based classification systemsClaude Code
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