Remote Medicine Physician (MD/DO) - 42012

Turing; San Francisco (CA); Remote; USD 110.000 - 165.000; Teilzeit

Zusammenfassung

A leading AI research company is looking for a medical expert in internal or emergency medicine to help improve AI models. This fully remote role requires a minimum commitment of 20-40 hours per week, with 4 hours each day. Candidates should have an MD with recent practice experience and board certification in their field. Responsibilities include designing clinical scenarios, evaluating AI-generated responses, and collaborating with AI researchers. Ideal candidates will have experience in patient care and strong communication skills.

Qualifikationen

• Active medical practice within the last 3+ years.
• Board certification in Internal or Emergency Medicine required.
• Education from a top-tier institution like Harvard or Stanford.
• Skilled in articulating complex medical reasoning in clear, patient-friendly language.
• Excellent written and spoken English; familiarity with digital medical tools is a plus.

Aufgaben

• Design complex clinical scenarios for AI models.
• Evaluate AI responses for clinical accuracy.
• Collaborate with 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.

Kenntnisse

Diagnostic reasoning

Chronic disease management

Patient care

Medical reasoning articulation

Strong English communication

Ausbildung

MD or equivalent

Education from a top-tier institution

Top-tier medical education

Tools

EMR/EHR systems

Jobbeschreibung

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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