Safeguards Enforcement Analyst, Child Safety

USD 245,000-285,000 per year
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

Used Tools & Technologies

GenAI

Required Skills & Competences

Python @ 5 SQL @ 5 Data Science @ 3 Leadership @ 3 Data Analysis @ 5 Reporting @ 3 Generative AI @ 3 AI @ 3

Details

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.

This role is on the Child Safety team and is responsible for child safety enforcement workflows: scaling, maintaining, and continuously improving the systems and processes used to detect and respond to child sexual abuse material (CSAM) and child sexual exploitation material (CSEM) generated or facilitated through Anthropic's products. This is a deeply operational 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 to ensure reviews are accurate, consistent, and conducted with appropriate support structures in place. 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 provides access to wellness resources and support for team members working in this area.

Responsibilities

  • 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

Requirements

  • 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

Logistics

  • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
  • Visa sponsorship: We do sponsor visas and retain an immigration lawyer to help with sponsorship, though sponsorship is not guaranteed for every role or candidate.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts and value impact — advancing our long-term goals of steerable, trustworthy AI. We are an extremely collaborative group and host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.