Remote Cardiologist Experts - AI Trainer

Mercor is building a selective global cohort of fellowship-trained cardiologists to support an ongoing collaboration with one of the world’s leading AI research laboratories.

We are assembling a small, vetted bench of exceptional cardiologists from leading institutions worldwide to contribute to a long-term research initiative focused on advancing AI systems in complex ECG interpretation. Please note that project work may not begin immediately. We are proactively identifying and onboarding top-tier cardiologists to participate in selective, high-impact initiatives as they are activated. We welcome applications from cardiologists across all subspecialties and geographies, with particular interest in Electrophysiology and clinicians with substantial real-world ECG interpretation volume.

The Work Selected cardiologists will partner directly with AI researchers to stress‑test, refine, and elevate model performance on advanced, real‑world ECG/EKG cases. You will help define what expert‑level ECG interpretation looks like at scale.

• MD, MBBS, or equivalent medical degree from a recognized and accredited institution
• Completion of formal postgraduate training in Cardiology (fellowship or equivalent specialist training pathway)
• Board certification, specialist registration, or equivalent recognition in your practicing country
• Minimum 2 years of independent clinical cardiology practice
• Strong expertise in ECG interpretation
• Exceptional diagnostic precision and attention to detail
• Clear, structured written 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.

This initiative brings together a small group of high‑caliber cardiologists globally to shape the future of AI‑assisted cardiovascular diagnostics. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.