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mercor

mercor

Environmental Law Expert - Fully Remote | Upto $120/hr

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Fully RemoteData & AICanada

Salary

$1k–$1k

Posted

1h ago

Source

himalayas

Environmental LawLegal ExpertContract ReviewAI Legal EvaluationEnvironmental Compliance

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Legal Expert — Environmental (Project Donna)
Type:Contract
Compensation:$100–$120/hour
Location:Remote
Commitment:~13 hours

Role Responsibilities

  • Evaluate AI-generated legal deliverables for accuracy and preference.
  • Review six blinded AI deliverables and provide head-to-head comparisons.
  • Write concise rationales for each preference decision.
  • Conduct NEPA legal sufficiency reviews and CERCLA contribution claim defenses.
  • Work independently and adhere to strict deadlines.

Qualifications

Must-Have

  • Qualified lawyer with substantive practice experience in environmental law.
  • Ability to judge work product holistically for correctness and completeness.
  • Precise written English skills.
  • Capability to work independently with written instructions.

Compensation & Legal

  • All work is covered by NDA.
  • External AI tools must not be used on project material.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Salary in context

This salary range is below the typical band for remote Data & AI roles — comparable roles on RemoteTide top out closer to $123k.

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

Interested in this role?

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