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About the Role
Turing invites Healthcare Experts to join projects that fine-tune AI models. If you enjoy applying clinical knowledge, analyzing complex medical scenarios, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your healthcare experience will help shape how the next generation of AI understands and reasons about medical topics and patient care.
What You'll Do
Review and evaluate AI-generated responses to medical and healthcare scenarios.
Apply a structured rubric to assess clinical accuracy, reasoning, completeness, and patient-safety considerations.
Identify gaps, edge cases, unsafe recommendations, and blind spots in medical reasoning.
Provide detailed annotations and written feedback to refine AI models.
Collaborate with researchers and project managers to align evaluation standards and project goals.
You're a Good Fit If You
Required skills: Health Administration
Nurse Practitioner (NP) or Medical Doctor (MD) qualification and active licensure.
3+ years of clinical experience; medical administration or healthcare operations experience is preferred.
Strong clinical reasoning and understanding of healthcare workflows.
Excellent written communication and attention to detail.
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.
Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
Up to $100/h - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Review and evaluate AI-generated responses to medical and healthcare scenarios. Apply a structured rubric to assess clinical accuracy, reasoning, completeness, and patient-safety considerations. Identify gaps, edge cases, unsafe recommendations, and blind spots in medical reasoning.
