Healthcare & FDA Regulatory Law Expert (Contract)

Role Overview:
Turing invites Healthcare and FDA Regulatory Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in healthcare compliance, FDA drug/device approval, Anti-Kickback Statute analysis, and HIPAA enforcement to evaluate how AI handles healthcare regulatory scenarios. If you enjoy analyzing Stark Law exceptions, False Claims Act liability, and pre-market approval pathways, this is your opportunity. No prior AI experience is required — your background in U.S. healthcare law is exactly what’s needed.

What Does Day-to-Day Look Like:
Review and evaluate AI-generated responses to U.S. healthcare law hypotheticals, including HIPAA privacy and security rules, Anti-Kickback Statute safe harbors, Stark Law exceptions, and FDA approval pathways (510(k), PMA, NDA).
Apply a structured legal rubric to assess issue spotting, accuracy of healthcare regulations, and proper application of CMS guidance and FDA rules.
Identify gaps in AI reasoning around fraud and abuse compliance, clinical trial regulations, telehealth law, and pharmacy benefit management.
Provide detailed, high-quality annotations and written feedback to refine AI models.
Collaborate with researchers and project managers to align evaluation standards and project goals.

Requirements:
Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive).
3+ years of U.S. legal practice in healthcare law, FDA regulatory affairs, or healthcare compliance.
Strong reasoning skills across HIPAA, the Anti-Kickback Statute, Stark Law, False Claims Act, and FDA regulations.
Excellent written communication and attention to detail.
High ethical standards; interest in AI is a plus.

Perks of Freelancing with Turing:
Opportunity to work on cutting-edge AI projects with leading LLM companies.
Competitive compensation.
Flexible, fully remote work arrangement.
Learn how to use AI to advance the legal field.

Offer Details:
Commitment: Flexible, 10–30 hrs/week.
Duration: ~1 month, with the possibility of extension based on performance and project needs.