Legal Expert — Environmental (Project Donna)

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring experienced environmental lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

What you'll do

• Read a synthetic legal matter and its underlying documents
• Review six blinded AI deliverables (labelled A–F) for that matter
• Make five head-to-head comparisons against a common comparator output
• Write a short, specific rationale for every preference

Practice scope

NEPA legal sufficiency review of a draft environmental impact statement, and CERCLA contribution claim defence and allocation.

Requirements

• Qualified lawyer with substantive practice experience in the areas above
• Able to judge work product holistically — correctness, completeness, judgment, usefulness
• Precise written English
• Able to work independently to written instructions and a deadline

Logistics

• Commitment: ~13 hours across the engagement
• Confidentiality: all work is covered by NDA. External AI tools must not be used on any project material.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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 at Mercor 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.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.