Internal Medicine Specialist

Turing•Chicago, IL
•Remote

About The Position

In this project, the Internal Medicine Specialist will use internal medicine expertise to help fine-tune large language models. The role draws on diagnostic reasoning, chronic disease management, and patient care to help ensure AI systems provide accurate, empathetic, and safe medical reasoning. The engagement is fully remote and collaborative, runs for one month with a possible extension, and requires 20–40 hours per week, at least four hours per day, with some overlap in Pacific Time. It is offered as a contractor/freelancer engagement without medical or paid leave. Turing is based in San Francisco, California, and describes itself as a research accelerator for frontier AI labs and a partner to global enterprises deploying advanced AI systems. It supports frontier research with data, training pipelines, and AI researchers, and helps enterprises develop reliable AI systems with measurable business impact.

Requirements

  • MD or equivalent.
  • Active practice within the last 3+ years.
  • Board certification or equivalent qualification in Internal Medicine.
  • Strong knowledge across internal medicine, including acute care, chronic disease, and preventive medicine.
  • Ability to explain complex medical reasoning clearly in patient-friendly language.
  • Excellent written and spoken English.
  • Education from a top-tier institution; examples include Harvard, Stanford, UCSF, and Oxford.

Nice To Haves

  • Familiarity with digital medical tools.

Responsibilities

  • Design and solve advanced clinical scenarios reflecting internal medicine practice, including complex differential diagnoses and 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.
  • Collaborate with AI researchers and medical peers to improve model quality and reliability.
  • Provide structured expert feedback to inform AI development for clinical and educational applications.
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