Remote Cardiologist - AI Trainer

Overview

Mercor is seeking fellowship-trained cardiologists for a project with one of the world's top AI labs.

We welcome applications from cardiologists across all subspecialties, with particular demand for fellowship-trained Electrophysiology and Clinical Cardiology experts. This role focuses on evaluating the ability of large language models to interpret advanced, real-world ECG / EKG cases.

• 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
• Exceptional attention to detail
• Strong written and verbal communication skills

• Fellowship training in Electrophysiology
• Primary clinical practice with significant ECG interpretation volume
• Academic or teaching experience (residents, fellows, conferences)
• Experience creating case-based assessments, exam questions, or rubrics
• Background in complex arrhythmia diagnosis, conduction abnormalities, or subtle ECG pattern recognition

• Develop gold-standard ECG interpretations with clear diagnostic reasoning
• Emphasize edge cases, nuanced differentials, and complex reasoning in ECG analysis
• Collaborate directly with research teams at a leading AI lab
• Provide feedback on common failure modes in model reasoning

• You will complete a short interview (approximately 20–30 minutes total)
• The interview will explore your clinical background and subspecialty expertise