Remote Physician (IM/EM)

Turing; San Francisco (CA); Remote; USD 138,000 - 248,000; Part time

Job summary

An AI research accelerator is seeking a candidate skilled in internal or emergency medicine to enhance AI systems. This remote position demands collaboration on clinical scenarios and evaluation of AI responses, requiring strong communication and diagnostic skills. An MD degree and recent active practice are essential. Join a flexible team dedicated to advancing AI's accuracy in medical applications.

Qualifications

• Must have active practice in internal or emergency medicine within the last 3+ years.
• Board certification in Internal or Emergency Medicine required.
• Excellent written and spoken English is necessary.
• 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 model training.
• Evaluate AI responses for clinical accuracy and evidence-based reasoning.
• Collaborate with AI researchers for model improvements.
• 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

Expertise in internal or emergency medicine

Strong communication skills

Ability to evaluate AI-generated clinical responses

Education

MD or equivalent

Education from a top-tier institution

Job description

1 day ago Be among the first 25 applicants

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.

Application Process

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.