Safeguards Enforcement Analyst, Child Safety
Manage and scale child safety content review workflows for detecting and responding to CSAM/CSEM generated by Anthropic's AI products. Requires trust & safety operations experience with child protection, SQL proficiency, and cross-functional collaboration with Engineering, Policy, and Legal teams.
About the job
Key Responsibilities
- Own day-to-day operational management of child safety content review workflows, including task routing, queue management, escalation handling, and SLA monitoring.
- Serve as 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.
Minimum Qualifications
- 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.
Preferred Qualifications
- 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.
- Experience in a trust & safety role at a technology company, with an understanding of how platform policy intersects with child protection obligations.
Compensation
Annual Salary: $245,000–$285,000 USD
Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role.
Skills
SQL, Python, Csam Detection, Content Moderation, Trust And Safety, Ncmec Reporting, Policy Enforcement, Data Analysis, Photodna, Perceptual Hashing, Copine Scale, Sam Scale
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