Contract Redlining Attorney

The work

You will help train and evaluate AI systems that review technology contracts. The work uses realistic contract scenarios and asks you to apply practical legal judgment, identify risks, and explain whether AI-generated analysis is accurate and useful.

• Perform simulated negotiations and redlining exercises involving MSAs, NDAs, and DPAs.
• Review AI responses to contract scenarios for accuracy, precision, and legal-risk handling.
• Give clear feedback to improve AI performance and legal contract analysis.
• Create objective evaluation frameworks and grading criteria for contract tasks.
• Work with product and research teams to improve data, guidelines, and review practices.
• Apply consistent reasoning while identifying important differences in contract language and negotiation results.

What it pays and takes

This is a part-time, remote contractor role. English is required, and the role is available to candidates in the countries listed for the position.

• Pay: $80-$200 per hour.
• Time: 20 or more hours per week.
• Work arrangement: Remote, part-time contract work.
• Education: J.D. from an ABA-accredited law school.
• Licensing: Active admission to at least one U.S. state bar.
• Experience: At least three years focused on technology contracts, including reviewing or negotiating MSAs, NDAs, and DPAs.
• Skills: Strong written and verbal communication, close attention to detail, rigorous analysis, and the ability to turn legal expertise into practical AI feedback.
• Helpful background: Experience with artificial intelligence, legal technology, or training initiatives.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from examples, including reviewing documents and rating model responses. Legal specialists are needed because reliable contract analysis depends on careful interpretation, risk judgment, and consistent feedback from people with real field experience.