Cardiologist – AI Research Projects

⏰$150–$200 Per Hour

We are seeking fellowship-trained cardiologists to collaborate on projects with one of the world’s leading AI research labs. This role focuses on evaluating how advanced AI systems interpret real-world ECG/EKG cases and improving their clinical reasoning.

Cardiologists across all subspecialties are encouraged to apply, with particularly strong demand for experts in Electrophysiology and Clinical Cardiology.

In this role, you will review and develop high-quality ECG interpretations, analyze complex cardiac scenarios, and help improve AI model accuracy through expert clinical insight.

Key Responsibilities:

• Develop gold-standard ECG interpretations with clear diagnostic reasoning

• Focus on complex cases, edge conditions, and nuanced differential diagnoses

• Collaborate with AI research teams on cardiology-focused model evaluation

• Identify and provide feedback on common reasoning errors in AI models

Basic Qualifications:

• MD or DO from an accredited medical school

• Completion of an ACGME-accredited Internal Medicine residency

• Completion of a cardiology fellowship (any subspecialty)

• Board-certified or board-eligible in Cardiovascular Disease

• 2+ years of post-training clinical experience

• Currently based in the United States

• Strong written and verbal communication skills

• Exceptional attention to detail

Strongly Preferred:

• Fellowship training in Electrophysiology

• Clinical practice involving high ECG interpretation volume

• Academic or teaching experience with residents or fellows

• Experience creating case-based assessments, exam questions, or evaluation rubrics

• Expertise in arrhythmias, conduction abnormalities, or subtle ECG pattern recognition

Screening Process:

Applicants will complete a short interview (approximately 20–30 minutes) focused on clinical background and subspecialty expertise.

We consider all qualified applicants equally and provide reasonable accommodations upon request.

Contract and Payment Terms:

• Independent contractor engagement

• Fully remote work on a flexible schedule

• Project length may vary based on research needs and performance

• Payments issued weekly via Stripe or Wise

• We are currently unable to support H1-B or STEM OPT candidates.