Safeguards Enforcement Analyst, Child Safety

The shape of it

In the posting’s own words

As a Safeguards Enforcement Analyst on the Child Safety team, you will be responsible for our child safety enforcement workflows, responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to child sexual abuse material (CSAM) and child sexual exploitation material (CSEM) generated or facilitated through Anthropic's products.

What it asks for · 6

• Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, CSAM/CSEM, or related child protection harm areas
• Experience managing or coordinating content review operations, including quality assurance and workflow management
• Experience standing up and scaling policy enforcement or content review workflows
• Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends
• Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams
• Understanding of the challenges involved in implementing product policies at scale in the content moderation space

Also a plus

• Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), or online child protection, including familiarity with CSAM/CSEM classification standards (e.g., COPINE, SAM scale)
• Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies
• Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks
• Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate CSEA
• Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material
• Proficiency in Python for workflow automation or data analysis
• Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection
• Familiarity with age assurance technologies and their role in child safety enforcement

What the job covers

• Own the day-to-day operational management of child safety content review workflows, including task routing, queue management, escalation handling, and SLA monitoring
• Serve as the primary point of contact for review partners conducting child safety 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 CSAM, CSEM, and related child safety policy violations
• Review novel or ambiguous flagged content to drive enforcement decisions and surface policy gaps to the Safeguards policy design team
• 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 child safety 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., NCMEC) in accordance with applicable law and Anthropic policy

Tools and skills named

Words the posting leans on

• enforcement12×
• child safety11×
• content11×
• policy11×
• review11×
• experience9×
• workflows9×
• content review5×
• legal5×
• scale5×
• csam4×
• management4×
• product4×
• reporting4×
• systems4×
• abuse3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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