Cardiologist
- business Talent Job Seeker
- directions_car California
- workFull-time
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Fellowship-Trained Cardiologist Type: Contract Compensation: $150–$200/hour Location: Remote Role 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. Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications Must-Have 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. 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 . Interview Process Complete a short interview ( 20–30 mins total). The interview will explore your clinical background and subspecialty expertise. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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Job ID: 10527310 / Ref: 1824dba4dbe1d920d919d72cdda26541