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Safeguards Enforcement Analyst, Age-Appropriate Design

Anthropic · San Francisco, CA | New York City, NY | Washington, DC · San Francisco, CA

CHECKED 4H AGO

Frontier labonsite$245k–$285k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build age assurance enforcement to keep underage users off consumer products.
  • Partner with sales and platform teams guiding API customers on safe deployment.
  • Shape user well-being policy enforcement for harmless, helpful AI interactions.

What they offer

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours

Ideal candidate

A trust-and-safety specialist passionate about child safety and responsible AI who balances privacy, safety, and usability while partnering cross-functionally to protect young users.

Requirements

  • Experience in trust and safety, online child safety, age assurance, privacy, product policy, or a related field
  • Subject matter expertise in age assurance or verification systems, age-appropriate design, child online safety, privacy-preserving verification, or content classification for young people
  • Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners
  • Experience navigating evolving regulatory landscapes including UK AADC, COPPA, DSA, CSAM/CSEM, NCII, and digital well-being
  • Thoughtful perspective on privacy/safety tradeoffs in age verification
  • Strong written communication skills for technical and non-technical stakeholders
  • Comfort using data (SQL or similar) to measure effectiveness and inform decisions
  • Excellent judgment collaborating amid rapidly evolving priorities
  • Bachelor's degree or equivalent combination of education, training and/or experience
remote policy
Hybrid - in office at least 25% of the time
visa sponsorship
Visa sponsorship available with reasonable effort, but not guaranteed for every role and candidate

Lab profile

About Anthropic

AI safety company building reliable, interpretable and steerable frontier AI systems.

What they build

  • Claude
  • Claude API
  • Claude Code

Known for

  • AI safety and alignment
  • Model interpretability research
  • Frontier LLM development

Key facts

  • Founded in 2021
  • Headquartered in San Francisco, California
  • Backed by Amazon and Google
More about Anthropic →
Apply on the lab’s site ↗