Healthcare & FDA Regulatory Law Specialist

Turing•Chicago, IL

2d•Remote

About The Position

Turing invites healthcare and FDA regulatory law experts to support projects that fine-tune AI models. The role applies expertise in healthcare compliance, FDA drug and device approval, Anti-Kickback Statute analysis, and HIPAA enforcement to evaluate AI-generated responses to healthcare regulatory scenarios. No prior AI experience is required. The specialist reviews AI responses to U.S. healthcare law hypotheticals, assesses them against a structured legal rubric, identifies gaps in AI reasoning, and provides detailed annotations and written feedback to improve models. The role also involves collaborating with researchers and project managers to align evaluation standards and project goals. This is a flexible freelance engagement of 10–30 hours per week, expected to last approximately one month, with possible extension based on performance and project needs. The work is fully remote.

Requirements

Juris Doctor (J.D.) from an accredited U.S. law school.
Active or inactive bar admission.
At least 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, the False Claims Act, and FDA regulations.
Excellent written communication and attention to detail.
High ethical standards.

Nice To Haves

Interest in AI.

Responsibilities

Review and evaluate AI-generated responses to U.S. healthcare law hypotheticals involving HIPAA privacy and security rules, Anti-Kickback Statute safe harbors, Stark Law exceptions, and FDA approval pathways such as 510(k), PMA, and NDA.
Apply a structured legal rubric to assess issue spotting, healthcare regulatory accuracy, and application of CMS guidance and FDA rules.
Identify gaps in AI reasoning concerning 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.