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Safeguards Enforcement Lead, User Well-Being

Full-time

Anthropic

About Anthropic 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. About the role As a Safeguards Enforcement Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms. This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes.

You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities - Manage a team of individual contributors across multiple policy areas under the User Well-Being banner - Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management - Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions - Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies - Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale - Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows - Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership - Coordinate reporting obligations to relevant external bodies (e. g.

Vacancy posted 22 days ago
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