Remote Medicine Physician (MD/DO) - 42012

Turing; Chicago (IL); Remote; USD 67,000 - 134,000; Part time

Job summary

A leading AI research accelerator is seeking a contractor in internal or emergency medicine to refine AI models. This remote role requires an MD, board certification, and expertise in chronic disease management. Responsibilities include designing clinical scenarios and evaluating AI outputs. Candidates should have experience in patient care and strong communication skills. The commitment is 20–40 hours per week, with potential for extension. Join a collaborative environment at the forefront of AI development.

Qualifications

• Active practice in internal or emergency medicine within the last 3 years.
• Board certification in Internal or Emergency Medicine.
• Excellent articulation of complex medical reasoning.
• Familiarity with digital medical tools is a plus.
• Education from top-tier institutions (e.g., Harvard, Stanford, UCSF, Oxford).
• Commitment: 20–40 hours/week (min 4 hours/day, PST overlap).
• Engagement: Contractor/freelancer (no medical or paid leave).
• Duration: 1 month, with possible extension.
• Remote: Fully remote, collaborative environment.

Responsibilities

• Design advanced clinical scenarios in internal or emergency medicine.
• Evaluate AI-generated responses for diagnostic accuracy.
• Provide expert feedback for AI development.
• Collaborate with AI researchers and medical peers to improve model quality and reliability.
• Provide structured, expert feedback informing AI development for clinical education.

Skills

Diagnostic reasoning

Chronic disease management

Patient care

Medical reasoning

Education

MD or equivalent

Education from a top-tier institution

Tools

Digital medical tools

Job description

Overview

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 You00ll 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 full spectrum cute 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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