The opportunity
As a member of the Research Legal team, you'll advise on legal topics across the full lifecycle of building and studying frontier AI models: data acquisition and use, training pipelines, model evaluation and launch, and alignment, interpretability, model welfare, societal…
What you'll do
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
Help 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
What they're looking for
- At least 8 years of legal experience advising technology companies on: copyright, privacy, data, AI regulation, and related product and policy issues, ideally including time in-house and work on AI/ML products or services
- Experience engaging directly with regulators or standards bodies
- Working technical literacy: enough familiarity with how models are trained, evaluated, and deployed to ask researchers and engineers the right questions and spot the legal issues in a technical design
- An academic or publishing background, or experience with copyright, open-source, and data licensing
- Experience with biosecurity, dual-use research, export controls, or safety: frameworks such as Anthropic's Responsible Scaling Policy
- Experience advising on academic or industry research, including publications,: external collaborations, data sharing, or human-subjects and consent questions, ideally in AI or an adjacent technical field
