Remote Resident Doctor (MD/DO) - 42012

Turing; San Francisco (CA); Remote; USD 110,000 - 165,000; Part time

Job summary

A leading research accelerator for AI labs is seeking a medical professional specializing in internal or emergency medicine. In this role, you will evaluate AI-generated medical reasoning to ensure accuracy and effectiveness. The position offers full remote engagement, requiring 20-40 hours per week. Candidates must hold an MD or equivalent and have recent practice experience. Strong communication skills in English and an education from a prestigious institution are crucial. Join a collaborative environment to enhance AI in healthcare.

Qualifications

• Active practice in Internal or Emergency Medicine within the last 3+ years.
• Board certification in Internal or Emergency Medicine.
• Excellent written and spoken English; familiarity with digital medical tools is a plus.
• Able to articulate complex medical reasoning clearly.

Responsibilities

• Design and solve advanced clinical scenarios reflecting internal or emergency medicine practice.
• Evaluate AI-generated responses for diagnostic accuracy and clinical judgment.
• Identify gaps in AI understanding across internal medicine subspecialties.
• Collaborate with AI researchers and medical peers to improve model quality.
• Provide structured expert feedback for AI development.

Skills

Diagnostic reasoning

Chronic disease management

Patient care

Complex medical reasoning

Education

MD or equivalent

Education from a top-tier institution

Education from top-tier institution

Tools

EMR/EHR systems

Digital medical tools

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 shave 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, and top AI researchers who specialise 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 that performs reliably, delivers measurable impact, and drives lasting results on the P&L.

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