Contracts Attorney

AI Trainer Jobs

United States

Remote

USD 59,000 - 80,000

Full time

3 days ago
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Job summary

AuraOne is seeking a Contracts Attorney to remotely review AI outputs in contract law workflows. Reviewers assess citations, statutory reasoning, policy adherence, and risk, and document corrected analyses for model training.

Contract law content is judged on precision by qualified legal reviewers who grade with citations, severity tags, and corrected reasoning alongside the original. Judge legal, policy, and compliance outputs for precision and risk.

Qualifications

  • Active or recent qualification in contract law.
  • Experience drafting, reviewing, or advising on real matters.
  • Clear written reasoning that cites authority and names the rule being applied.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current contract law statutes, case law, or policy for Contracts Attorney assignments.
  • Verify citations, jurisdictions, and dates against authoritative sources.
  • Flag risky reasoning, missed exceptions, and policy-adherence gaps with severity tags.
  • Capture the corrected analysis or memo paragraph so the modeling team can train on it.
  • Adjudicate disputed treatments against published authority or firm policy.

Skills

Legal research
Citation review
Statutory analysis
Policy reasoning
Contract law
Legal

Education

Bar admission or legal-equivalent credential

Job description

Contracts Attorney is a remote review track for evaluating AI outputs in contract law workflows. Reviewers grade citation accuracy, statutory reasoning, and policy adherence; flag risk; and document the corrected analysis so the modeling team can train on it.

Category: Legal & Policy AI Evaluation · Pay: $50 / hr · Location: Remote — US-eligible · Contractor

Contracts Attorney is a remote review track for evaluating AI outputs in contract law workflows.

Role details
About the role

Contracts Attorney is a remote review track for evaluating AI outputs in contract law workflows. Reviewers grade citation accuracy, statutory reasoning, and policy adherence; flag risk; and document the corrected analysis so the modeling team can train on it.
Contract law content is judged on precision. AuraOne uses qualified legal and policy reviewers to grade AI outputs the way a senior associate would — with citations, severity tags, and the corrected reasoning alongside the original.
Judge legal, policy, and compliance outputs for precision and risk.

Responsibilities
  • Review AI outputs against current contract law statutes, case law, or policy for Contracts Attorney assignments.
  • Verify citations, jurisdictions, and dates against authoritative sources.
  • Flag risky reasoning, missed exceptions, and policy-adherence gaps with severity tags.
  • Capture the corrected analysis or memo paragraph so the modeling team can train on it.
  • Adjudicate disputed treatments against published authority or firm policy.
What you should bring
  • Active or recent qualification in contract law or an adjacent practice for Contracts Attorney work.
  • Hands-on experience drafting, reviewing, or advising on real matters.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that cites authority and names the rule being applied.
  • Reliable async availability for at least 10 hours per week.
Role signals
Example tasks
  • Verify the citations in a model's contract law memo and flag any miscites with severity.
  • Grade a model's statutory reasoning on a complex fact pattern and rate the analysis.
  • Adjudicate a disputed treatment between two reviewers using current authority.
  • Audit a 25-row batch for rubric consistency and report drift to the program lead.
Useful experience
  • Bar admission or legal-equivalent credential in a relevant jurisdiction.
  • Prior experience reviewing AI-assisted legal-research or compliance tooling.
  • Bilingual experience for cross-jurisdiction matters.
Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching
  • Legal research
  • Citation review
  • Statutory analysis
  • Policy reasoning
  • Contract law
  • Legal
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