Healthcare and FDA Regulatory Law Expert

You will evaluate AI-generated answers to U.S. healthcare law and FDA regulatory scenarios. Your feedback will help improve the accuracy and reasoning of AI systems.

• Review answers about HIPAA privacy and security rules, Anti-Kickback Statute safe harbors, Stark Law exceptions, and the False Claims Act.
• Assess answers about FDA 510(k), PMA, and NDA approval pathways, as well as CMS and FDA guidance.
• Use a legal rubric to judge issue spotting, regulatory accuracy, and reasoning.
• Identify weaknesses involving fraud and abuse compliance, clinical trial rules, telehealth law, and pharmacy benefit management.
• Write detailed annotations and feedback, and work with researchers and project managers to align evaluation standards and project goals.

• Pay: Not provided.
• Time: At least 20 hours per week.
• Location: Open worldwide.
• Language: Fluent in English.
• Education: A Juris Doctor degree from an accredited U.S. law school.
• Bar admission: Active or inactive admission to a bar.
• Legal experience: At least three years of U.S. legal practice in healthcare law, FDA regulatory affairs, or healthcare compliance.
• Knowledge: Working knowledge of HIPAA, the Anti-Kickback Statute, Stark Law, the False Claims Act, and FDA regulations.
• Skills: Strong legal writing, critical reasoning, attention to detail, and ethical judgment.
• Relevant background includes analyzing healthcare regulatory hypotheticals, CMS guidance, FDA drug or device approvals, clinical trial rules, telehealth law, or pharmacy benefit management. Prior AI training experience is not required.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

OpenTrain is a platform where people find AI training and data-labeling roles and apply to them. In AI training, people review AI responses and give feedback; legal expertise helps assess accuracy and improve how models handle complex rules.