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.

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 Exceptional attention to detail Strong written and verbal communication skills Strongly Preferred 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 Responsibilities 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 Screening Process You will complete a short interview (approximately 20-30 minutes total). The interview will explore your clinical background and subspecialty expertise. #J-18808-Ljbffr