Review AI-generated answers to U.S. contract law scenarios and assess their legal reasoning using a structured rubric. You will write detailed feedback to help improve model responses.
- Assess issue spotting and the accuracy of common law contract principles and UCC rules.
- Evaluate reasoning about consideration, conditions precedent, anticipatory repudiation, liquidated damages, and third-party beneficiary rights.
- Identify strengths, errors, and omissions in annotations and written feedback.
- Work with researchers and project managers to align evaluation standards and project goals.
Schedule and requirements
- Work arrangement: fully remote freelance project.
- Time commitment: 20+ hours per week, with a flexible schedule.
- Project length: about one month, with a possible extension based on project needs and performance.
- Education: Juris Doctor degree from an accredited U.S. law school.
- Legal background: active or inactive bar admission and at least three years of U.S. legal practice in contract law, commercial transactions, or commercial litigation.
- Knowledge: strong command of common law contracts, the UCC, and commercial agreements.
- Skills: excellent legal writing and reasoning, close attention to detail, and sound ethical judgment.
- Helpful experience: force majeure clauses, conditions precedent, breach remedies, contract drafting, or commercial dispute resolution.
- Previous AI experience is not required.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses human judgment to review examples and help improve how AI systems respond. Legal expertise helps evaluators spot sound reasoning and legal errors in model answers.