Lawyer (U.S. Legal Document Review)

The work

You will help train and evaluate AI systems by reviewing U.S. legal materials and creating accurate, well-supported legal content. The work combines legal research, drafting, citation checking, scenario analysis, and detailed feedback.

You will work remotely with project managers and technical experts, adapting your deliverables as project requirements change.

• Review U.S. legal documents, case law, and statutes for accuracy, context, and applicability.
• Draft and edit legal arguments, memoranda, and pleadings with clear structure and sound reasoning.
• Format citations using the Bluebook and perform advanced cite-checking to verify references.
• Evaluate hypothetical legal scenarios and assess legal writing samples.
• Give constructive written and verbal feedback on clarity, quality, and usefulness for AI learning.

What it pays and takes

• Pay: $50 to $80 per hour.
• Work arrangement: Remote contractor work on a part-time basis.
• Location: Open to candidates based in the United States.
• Education: Juris Doctor degree from a U.S. law school required.
• Legal knowledge: Strong knowledge of U.S. legal systems and practice standards.
• Required skills: Bluebook citation formatting, advanced cite-checking, and experience drafting, editing, or reviewing complex legal documents and arguments.
• Communication: Excellent written and verbal communication, close attention to detail, and the ability to explain complex legal issues clearly.
• Additional background: Law review or journal editor experience is especially relevant and required for current law students. Credentials from a T14 institution are preferred.

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 carefully prepared examples and human reviews to help artificial intelligence systems produce better results. Legal specialists are paid for applying professional knowledge to assess accuracy, reasoning, and writing quality in this process.