The work
You will evaluate AI-generated answers to legal hypotheticals covering U.S. real estate and property law. You will use a legal rubric to assess issue spotting and reasoning, then write annotations and feedback to help improve model responses.
- Review answers about commercial purchase agreements, title defects, zoning variances, landlord-tenant disputes, and mortgage foreclosures.
- Assess the application of recording statutes, the Rule Against Perpetuities, and state landlord-tenant codes.
- Evaluate reasoning about concurrent estates, easements, restrictive covenants, constructive eviction, eminent domain, and 1031 exchanges.
- Work with researchers and project managers to align evaluation standards and project goals.
What it requires
- Work remotely; the role is open worldwide.
- Commit to at least 20 hours per week.
- Be fluent in English.
- Hold a Juris Doctor degree from an accredited U.S. law school and have active or inactive bar admission.
- Have at least three years of U.S. legal practice in real estate transactions, property litigation, or land use and zoning.
- Bring strong knowledge of property law, commercial leasing, title insurance, and real estate finance, as well as clear writing, careful attention to detail, and high ethical standards.
- Experience with easement disputes, commercial lease negotiations, eminent domain, title examination, or 1031 exchanges is helpful. Prior 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-reviewed examples to help improve how AI systems answer questions. Experienced legal professionals bring the subject knowledge needed to assess complex reasoning and give useful feedback.
Listed by OpenTrain AI. Details can change, so check the original posting before applying. View original posting