You will help train and evaluate legal AI models by applying practical judgment to simulated contract negotiations, redlining exercises, and contract-review assessments. Your work will focus on identifying risk, interpreting contract language, and explaining legal decisions clearly.
You will also help create consistent standards for evaluating AI-generated legal responses and work with product and research teams to improve review data, guidelines, and best practices.
- Perform simulated negotiations and redlining exercises involving corporate and M&A agreements.
- Review AI responses to contract scenarios for accuracy, risk identification, and legal judgment.
- Create evaluation frameworks and grading criteria for contract-related model performance.
- Give clear, consistent feedback on nuanced commercial and legal decisions.
- Collaborate with product and research teams on legal AI review guidelines and data.
What It Pays and Takes
This is a remote, part-time contractor role.
- Pay: $90-$130 per hour.
- Time: 20 or more hours per week.
- Typical assignment handling time: approximately 3.5 hours.
- Location: remote, open to applicants in the United States.
- Language: English language skills required.
- Education: J.D. from an ABA-accredited law school.
- Licensing: active bar admission in at least one U.S. jurisdiction.
- Experience: at least two years in the M&A department of a corporate law firm.
- Knowledge: standard M&A agreements, including asset purchase agreements and stock purchase agreements.
- Core skills: contract analysis, structured legal judgment, strong written and verbal communication, analytical ability, and close attention to detail.
- Helpful background: AI, legal technology, training initiatives, private equity, or work with cross-disciplinary product and research teams.
How it works
You apply here in about two minutes; the application finishes on the hiring platform, with a short AI interview if you are shortlisted.
About AI Training Work
OpenTrain AI is the hiring and contracting organization for this role. AI training work uses human review, examples, and feedback to improve how AI systems understand and respond to real tasks, and experienced professionals help set reliable standards for that work.