Remote Physician (IM/EM)

Turing; Chicago (IL); Remote; USD 138,000 - 276,000; Part time

Job summary

A leading AI research accelerator is seeking a medical professional to provide expertise in internal or emergency medicine to refine AI models like ChatGPT. Responsibilities include designing complex clinical scenarios, evaluating diagnostics, and collaborating with researchers. Candidates must possess an MD with recent practice and strong communication skills. This role is fully remote, requiring 20–40 hours per week with a 1-month initial duration and the possibility of extension.

Qualifications

• Active practice in internal or emergency medicine within the last 3 years.
• Strong grasp of internal medicine’s full spectrum including care and prevention.
• Excellent English communication skills and ability to assist in AI development.
• Skilled in articulating complex medical reasoning in clear, patient-friendly language.
• Excellent written and spoken English; familiarity with digital medical tools is a plus.
• Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.).

Responsibilities

• Design advanced clinical scenarios for AI systems.
• Evaluate AI responses for accuracy and clinical judgment.
• Collaborate with AI researchers to enhance model reliability.
• 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.

Skills

Diagnostic reasoning

Chronic disease management

Patient care

Clear communication of complex medical reasoning

Education

MD or equivalent; recent practice in internal or emergency medicine

Board certification in Internal or Emergency Medicine

Education from a top-tier institution

Tools

Digital medical tools

Job description

In this project, you will leverage your expertise in internal or emergency medicine to help fine‑tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.

What You’ll Do

• 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.

Candidate 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; familiarity with digital medical tools is a plus.
• Education from a top‑tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.).

Commitment

20–40 hours/week (minimum 4 hours/day, with overlap in PST)

Engagement

Contractor/freelancer (no medical or paid leave)

Duration

1 month, with possible extension

Remote

Fully remote, collaborative environment

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high‑quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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