Research Counsel en Anthropic

Híbrido - San Francisco, CA | New York City, NY

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A member of the Research Legal team at Anthropic, this role advises on legal topics across the full lifecycle of building and studying frontier AI models, including data acquisition and use, model evaluation and launch, alignment, interpretability, and societal impacts. The role requires deep expertise in copyright, privacy, data use, and AI regulation, and involves coordinating regulatory readiness, supporting responsible scaling policy for biological and chemical risk, and engaging with external stakeholders to develop norms for responsible AI.

Salary

USD 265,000 - 335,000

Requirements

Skills

  • JD degree
  • Active membership in at least one U.S. state bar (California or New York preferred)
  • At least 8 years of legal experience advising technology companies on copyright, privacy, data, AI regulation, and related product and policy issues
  • Experience engaging directly with regulators or standards bodies
  • Technical literacy of AI/ML model training, evaluation, and deployment
  • Familiarity with EU AI Act, U.S. legislation, AI frameworks, GDPR/CCPA, and comparable global regimes
  • Knowledge of biosecurity, dual‑use research, export controls, and safety frameworks such as Responsible Scaling Policy
  • Experience advising on academic or industry research, publications, external collaborations, data sharing, or human‑subjects consent
  • Strong communication, analytical, and technical fluency

Responsibilities

  • Advise research and data teams on data sourcing, licensing, partnerships, and use, and help shape Anthropic's data acquisition and use strategy as laws and markets evolve
  • Coordinate regulatory readiness and model launches, review model documentation and system cards, respond to regulatory inquiries, and advise on legal questions for pre‑release and internal models
  • Support the Responsible Scaling Policy as applied to biological and chemical risk, including capability evaluations, tiered access for biosecurity researchers, and dual‑use research questions
  • Counsel the Societal Impacts, Economic, Alignment, Interpretability, Model Welfare, and Beneficial Deployments teams on research design, data collection and sharing, external collaborations, program launches, and publication review
  • Monitor global AI, privacy, copyright, and export‑control developments and translate them into practical internal guidance and policy, working closely with Product, Policy, and other legal stakeholders
  • Engage with academics, regulators, industry groups, and civil society to help develop norms and best practices for responsible AI development and data governance

Technologies

AI/MLData licensingExport control regulationsEU AI ActGDPRCCPA

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