Corporate/M&A Attorney

AI Trainer Jobs; United States; Remote; USD 55,000 - 83,000; Full time

Job summary

AI Trainer Jobs seeks a Corporate/M&A Attorney for a remote review track evaluating AI-generated legal outputs. You will judge citations, statutory reasoning, and policy adherence, flag risk, and document corrected analyses for model training.

This is a remote contractor role with US eligibility; hourly rate to be confirmed after interview, focusing on precision and consistency across long batches.

Qualifications

• Active or recent qualification in legal review or adjacent practice.
• Hands-on 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 legal review statutes, case law, or policy for Corporate/M&A 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

Legal review

Legal

Education

Bar admission or legal-equivalent credential

Job description

Corporate/M&A Attorney is a remote review track for evaluating AI outputs in legal review 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

Corporate/M&A Attorney is a remote review track for evaluating AI outputs in legal review workflows.

About the role

Corporate/M&A Attorney is a remote review track for evaluating AI outputs in legal review 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.
Legal review 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 legal review statutes, case law, or policy for Corporate/M&A 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 legal review or an adjacent practice for Corporate/M&A 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.

Example tasks

• Verify the citations in a model's legal review 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
• Legal review
• Legal