Bankruptcy Law AI Training Attorney

The work

You will help improve AI systems by applying practical bankruptcy-law knowledge to legal documents, model-generated answers, hypothetical cases, and educational materials. The work combines legal analysis with careful written feedback and drafting based on current U.S. bankruptcy law.

• Analyze, review, and annotate bankruptcy-law documents with substantive legal commentary.
• Draft sample motions, pleadings, and court filings for common and complex bankruptcy situations.
• Evaluate hypothetical legal situations and write well-reasoned explanations and legal arguments.
• Create educational content and model training data for bankruptcy practice.
• Review AI-generated legal answers for accuracy, clarity, and alignment with current U.S. bankruptcy law.
• Provide precise written and verbal feedback while identifying important legal nuances and emerging trends.

What it pays and takes

This is a part-time contractor role listed as entry level, although the work requires substantial recent bankruptcy-law experience. English is the required language.

• Pay: $90-$150 per hour, paid in USD.
• Time: 20+ hours per week.
• Type: Part-time contractor.
• Location: Remote work is listed across the countries shown for this role.
• Education: Juris Doctor degree from an accredited U.S. law school.
• License: Active license to practice law in the United States.
• Experience: Three to 15 years of recent, hands-on bankruptcy-law experience.
• Practice background: Direct experience with bankruptcy filings, court appearances, and advisory work.
• Communication: Strong written and verbal communication, including the ability to explain complex legal concepts clearly.
• Helpful experience: A judicial clerkship, especially with a bankruptcy or federal judge; law teaching or legal instructional content; or legal journal or law review editing.

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 generate and evaluate text, including reviewing answers, creating examples, and checking accuracy. Experienced professionals are paid to bring reliable judgment and subject knowledge to these tasks.