Remote Cardiologist - 75125

Turing; Vancouver; Remote; CAD 96,000 - 152,000; Part time

Job summary

Turing is seeking a physician with internal medicine expertise to design and evaluate advanced AI-driven clinical scenarios. The role focuses on diagnostic accuracy, clinical judgment, and clear medical reasoning for AI systems.

You will collaborate with AI researchers in a fully remote, contractor setting, delivering expert feedback to guide future clinical AI development and education projects.

Qualifications

• MD or equivalent; active practice within the last 3+ years.
• Board certification in Internal Medicine.
• Strong grasp of internal medicine across 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.).

Responsibilities

• Design and solve advanced clinical scenarios reflecting internal medicine practice.
• Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning.
• Identify gaps in AI understanding across internal medicine subspecialties.
• 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

Medical reasoning

Clinical communication

English proficiency

Education

MD or equivalent

Board certification in Internal Medicine

Top-tier medical school

Tools

Digital medical tools

Job description

In this project, you will leverage your expertise in internal 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 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.
• 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 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