Remote Resident Medical Specialist (MD/DO) - 42012

Turing

Boston (MA)

Remote

USD 138,000 - 248,000

Part time

14 days+
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Job summary

A leading research accelerator for AI based in Boston is seeking a medical expert with an MD to enhance AI systems focused on internal and emergency medicine. You will design clinical scenarios, evaluate AI responses, and collaborate with researchers to improve AI functionality. Ideal candidates will have recent medical practice, board certification in relevant fields, and strong communication skills. This contractor role requires 20-40 hours per week and is fully remote, making it suitable for flexible work schedules.

Qualifications

  • Active medical practice within the last 3+ years.
  • Board certification in Internal or Emergency Medicine.
  • Familiarity with digital medical tools is a plus.
  • 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

Responsibilities

  • Design and solve clinical scenarios for internal or emergency medicine.
  • Evaluate AI-generated responses for accuracy and clinical judgment.
  • Provide expert feedback for AI model enhancement.
  • 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

Diagnostic reasoning
Chronic disease management
Patient care
Articulating complex medical reasoning
Excellent written and spoken English

Education

MD or equivalent
Education from a top-tier institution
Top-tier institution education

Tools

Electronic Health Records (EHR) familiarity

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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