Enterprise Legal Consultant - AI Trainer

Obsidian

Chicago (IL)

On-site

USD 152,000 - 207,000

Part time

14 days+
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Benefits offered by this job

Paid onboarding via Mercor Rubric Acad
Opportunities for advancement to SME
Competitive hourly pay

Job summary

Mercor is seeking senior legal professionals to build evaluation tasks for AI systems operating in Fortune 500 legal contexts.

The workflows are calibrated to the regulatory complexity, transaction scale, and risk posture of Fortune 500 and large public companies. You will draft model-grade reference work and write rubrics that distinguish strong legal reasoning from surface-level output.

Qualifications

  • 2+ years as in-house counsel at a Fortune 500 or AmLaw 100 firm or equivalent.
  • Deep exposure to enterprise practice areas: M&A, securities, regulatory, employment, IP, privacy, or commercial contracting at F500 scale.
  • Familiarity with CLM platforms (Ironclad, Agiloft, Icertis) and enterprise GRC tooling.
  • JD with active bar admission; rubric, exam, or training-content authorship is a plus.

Responsibilities

  • Construct enterprise legal scenarios across in-house counsel, regulatory, transactional, and litigation work for F500-scale organizations.
  • Draft and review materials grounded in enterprise compliance regimes (FCPA, SOX, GDPR, HIPAA, sector-specific regulation in banking, healthcare, pharma, and insurance).
  • Build tasks around enterprise contracting at material scale (MSAs, SOWs, DPAs, licensing) and M&A diligence for F500 transactions.
  • Develop ERM and COSO-aligned risk scenarios, board-level reporting, and regulated-industry investigations.
  • Author detailed, criterion-referenced rubrics that capture the judgment a senior F500 lawyer would apply.

Skills

In-house counsel experience
Fortune 500 exposure
Contract drafting
Regulatory/compliance know-how

Education

Juris Doctor (JD) with active bar admission

Tools

Ironclad
Agiloft
Icertis
GRC tooling

Job description

Role Overview


  • Mercor is seeking senior legal professionals to build evaluation tasks for AI systems operating in Fortune 500 legal contexts.


  • The workflows are calibrated to the regulatory complexity, transaction scale, and risk posture of Fortune 500 and large public companies.


  • Contributors design realistic enterprise legal scenarios, draft model-grade reference work, and write rubrics that distinguish strong legal reasoning from surface-level output.



Key Responsibilities


  • Construct enterprise legal scenarios across in-house counsel, regulatory, transactional, and litigation work for F500-scale organizations.


  • Draft and review materials grounded in enterprise compliance regimes (FCPA, SOX, GDPR, HIPAA, sector-specific regulation in banking, healthcare, pharma, and insurance).


  • Build tasks around enterprise contracting at material scale (MSAs, SOWs, DPAs, licensing) and M&A diligence for F500 transactions.


  • Develop ERM and COSO-aligned risk scenarios, board-level reporting, and regulated-industry investigations.


  • Author detailed, criterion-referenced rubrics that capture the judgment a senior F500 lawyer would apply.



Ideal Qualifications


  • 2+ years as in-house counsel at a Fortune 500 or large public company, or as a partner / senior associate at an AmLaw 100 firm representing F500 clients.


  • Deep exposure to one or more enterprise practice areas: M&A, securities, regulatory, employment, IP, privacy, or commercial contracting at F500 scale.


  • Familiarity with CLM platforms (Ironclad, Agiloft, Icertis) and enterprise GRC tooling.


  • JD with active bar admission. Prior rubric, exam, or training-content authorship is a plus.



Compensation Note


  • Hourly Pay: $110 to $150 per hour, set by Mercor based on demonstrated expertise.


  • Minimum Commitment: 20 hours per week.


  • Onboarding via the Mercor Rubric Academy, a paid program that calibrates contributors to the quality bar before live work.


  • Advancement: strong contributors move into reviewer, lead, and domain SME roles with elevated rates.


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