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mercor

mercor

Legal Diligence Specialist - Remote | Upto $120/hr

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Fully RemoteData & AIUnited States

Salary

$960–$1k

Posted

3h ago

Source

himalayas

Legal ContractsDue DiligenceDocument ReviewLegal TechnologyAI Evaluation

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 contracts / diligence / redlines Evaluator
Type:Contract
Compensation:$80–$120/hour
Location:Remote

Role Responsibilities

  • Evaluate AI-generated artifacts against domain-specific quality rubrics.
  • Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
  • Provide clear, structured written feedback to improve AI model outputs.
  • Review and assess AI-generated work products for accuracy, rigor, and domain quality.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • 5+ years of relevant professional experience in Legal contracts / diligence / redlines.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace, especially Slides.

Preferred

  • Advanced degree (Master's or higher) from a reputable institution.

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 $116k.

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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