The Work
You will review sample contracts and related legal documents for clarity, enforceability, and potential risk. Your analysis will help improve how AI systems handle legal concepts.
You will explain legal concerns in clear language for non-lawyer readers. Work uses public or synthetic materials and follows confidentiality and conflict-of-interest protocols.
- Review contracts and templates for unclear, unenforceable, or risky clauses.
- Write concise commentary explaining problems and possible improvements.
- Draft short memos covering findings and key legal risks.
- Conduct basic legal research using public sources.
- Explain complex legal concepts in accessible language.
What It Pays And Takes
This is a part-time individual contractor opportunity for legal professionals contributing hands-on expertise to AI training work.
- Pay: $80 to $180 per hour equivalent, paid per task that meets the project specifications.
- Time: Less than 20 hours per week.
- Location: Open to candidates in multiple listed countries, including the United States, Canada, the United Kingdom, Germany, France, India, Japan, Singapore, and Vietnam.
- Language: Fluent English required.
- Education: Juris Doctor degree required.
- Legal standing: Active or lapsed bar membership in a U.S. jurisdiction required.
- Experience: Entry-level listing with at least four years of practice experience in contracts, compliance, transactions, or other document-heavy legal work.
- Skills: Contract drafting, contract review, legal risk assessment, strong written and verbal communication, close attention to detail, and methodical legal analysis.
- Judgment: Strong confidentiality and conflict-of-interest management judgment required.
- Helpful background: Experience with technology, artificial intelligence, or legal operations, plus public-source legal research and concise recommendation writing.
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 text, rating model responses, and preparing useful feedback. Legal professionals are paid for this work because their subject knowledge helps models handle specialized concepts more accurately.