Review and redline technology contracts, evaluate AI legal responses, and help improve contract-review systems. This remote, part-time contractor role pays $85 to $105 per hour.
The work
You will support AI training and evaluation through simulated technology contract negotiations. Your legal judgment will help AI systems identify contract risks and interpret legal language more accurately.
- Perform simulated negotiations and redlining exercises for technology contracts.
- Review AI-generated responses to contract scenarios for accuracy, risk analysis, and legal judgment.
- Create objective evaluation frameworks and grading criteria for contract-related model performance.
- Give clear, actionable feedback to improve AI outputs and contract-review workflows.
- Help refine data, guidelines, and best practices for AI-driven legal review.
- Work with product and research teams on legal AI evaluation projects.
What it pays and takes
This is a remote, part-time contractor role focused on technology transaction contract review. English is required, and the role is available in the countries listed in the application.
- Pay: $85 to $105 per hour.
- Time: Less than 20 hours per week.
- Work arrangement: Remote, part-time contract work.
- Language: English.
- Experience: At least three years of in-house experience focused on technology transactions.
- Contract experience: Negotiating master services agreements, nondisclosure agreements, and data processing agreements.
- Core skills: Contract drafting, review, negotiation, redlining, careful written communication, and strong analytical judgment.
- You must be able to turn legal expertise into clear feedback for AI systems and work with cross-disciplinary teams.
- Helpful background: Experience with AI, legal technology, or training initiatives; corporate law firm experience in mergers and acquisitions or private-equity fund formation.
How it works
You apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI training work
AI training uses human examples, reviews, and feedback to improve how AI systems respond. Legal experts are needed to judge contract language, risk, and model responses where careful professional judgment matters.