Remote Medicine Physician (MD/DO) - 42012

Turing; Seattle (WA); Remote; USD 138,000 - 207,000; Part time

Benefits offered by this job

Fully remote

Contractor/freelancer

Job summary

A pioneering AI research company is seeking a medical expert in internal or emergency medicine to enhance AI capabilities. In this fully remote role, you'll design clinical scenarios and evaluate responses for diagnostic accuracy. Ideal candidates hold an MD with recent practice experience, board certification, and exceptional communication skills. This contract opportunity requires 20–40 hours per week. Embrace the chance to be at the forefront of AI in healthcare.

Qualifications

• Active practice in internal or emergency medicine within the last 3+ years.
• Board certification or equivalent qualification.
• Ability to articulate complex medical reasoning in clear language.
• 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 and solve advanced clinical scenarios for AI models.
• Evaluate AI responses for diagnostic accuracy and clinical judgment.
• Provide expert feedback to improve AI quality.
• 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

Internal medicine expertise

Emergency medicine expertise

Diagnostic reasoning

Chronic disease management

Patient care

Excellent communication

Familiarity with digital medical tools

Education

MD or equivalent

Education from a top-tier institution

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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