Seeking Legal Experts (J.D.) for a premier project with one of the world's top AI labs.

In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation.

Ideal Qualifications:

• Have an J.D. from a top US/Canada/UK/New Zealand/Australia university

• Have experience with legal research platforms (CourtListener, Westlaw, LexisNexis, PACER, etc.)

• Have professional experience in litigation, regulatory work, or legal research

• Have high attention to detail.

• Have exceptional written and verbal communication skills.

• Have excellent proficiency in English.

• Are currently based in the U.S., Canada, New Zealand, UK, or Australia.

Key Responsibilities:

• You will work asynchronously with a team of highly qualified experts across your domain.

• You will design multi-step legal workflows requiring agents to navigate court databases, extract case law citations, and analyze regulatory filings

• You will create detailed evaluation rubrics for AI agent performance.

• The project is 15-20 hours of work per week with potential for increased hours and extension.

Role Start Date

• This role will begin in early December with applications reviewed on a rolling basis.

Interview Process

• You will complete a short interview to assess your domain expertise.

• You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.