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This role involves leveraging clinical expertise in internal or emergency medicine to fine-tune large language models, ensuring that AI systems provide accurate, empathetic, and safe medical reasoning. The physician will design clinical scenarios, evaluate AI responses, and collaborate with researchers to improve AI model quality.
Responsibilities
- Design and solve advanced clinical scenarios reflecting internal or emergency medicine practice, from complex differential diagnoses to chronic care management
- Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning
- Identify gaps in AI understanding across internal medicine subspecialties (cardiology, endocrinology, nephrology, etc.)
- Collaborate with AI researchers and medical peers to improve model quality and reliability
- Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications
Requirements
- MD or equivalent
- Active practice within the last 3+ years
- Board certification or equivalent qualification in Internal or Emergency Medicine
- Strong grasp of internal medicine’s full spectrum — acute care, chronic disease, and preventive medicine
- Skilled in articulating complex medical reasoning in clear, patient-friendly language
- Excellent written and spoken English
- Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.)
Qualifications
- MD or equivalent
- active practice within the last 3+ years
Nice to Have
- Familiarity with digital medical tools
Skills
ChatGPT
*
Large Language Models
*
digital medical tools
*
* Required skills
Certifications
Board certification or equivalent qualification in Internal or Emergency Medicine
(Required)
About Turing
Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems, based in San Francisco, California.
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