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Cardiologist

Weekday AI

United States Remote part_time

Posted: February 19, 2026

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Quick Summary

A cardiologist will work with a team to develop a project that aims to improve the accuracy of AI models that interpret ECG/EKG cases.

Job Description

This role is for one of our clients

Compensation: $250-$300 per hour

We are seeking fellowship-trained Cardiologists to support a project in collaboration with one of the world’s leading AI research laboratories. This engagement focuses on evaluating and enhancing the ability of advanced large language models to interpret complex, real-world ECG/EKG cases.

Applications are welcome from cardiologists across all subspecialties, with particular demand for experts trained in Electrophysiology and Clinical Cardiology.


Requirements:
In this position, you will apply your clinical expertise to develop high-quality ECG interpretations and assess AI-generated analyses. The work will emphasize advanced diagnostic reasoning, subtle pattern recognition, and complex clinical scenarios encountered in real-world cardiology practice.

Core Responsibilities

• Develop gold-standard ECG interpretations supported by clear, structured diagnostic reasoning.
• Highlight nuanced differentials, edge cases, and subtle findings in ECG analysis.
• Evaluate AI-generated interpretations for accuracy, depth of reasoning, and clinical reliability.
• Identify common reasoning gaps and failure modes in model outputs.
• Collaborate directly with research teams to improve the clinical robustness of AI systems.

Required Qualifications

• MD or DO from an accredited medical school.
• Completion of an Internal Medicine residency accredited by the Accreditation Council for Graduate Medical Education.
• Completion of a cardiology fellowship (any subspecialty).
• Board-certified or board-eligible in Cardiovascular Disease.
• Minimum of 2 years of post-training clinical experience.
• Currently practicing and based in the United States.
• Exceptional attention to detail.
• Strong written and verbal communication skills.

Strongly Preferred

• Fellowship training in Electrophysiology.
• Primary clinical practice involving significant ECG interpretation volume.
• Academic or teaching experience with residents or fellows.
• Experience developing case-based assessments, examination questions, or clinical rubrics.
• Advanced expertise in complex arrhythmia diagnosis, conduction abnormalities, and subtle ECG pattern recognition.

Screening Process

• A brief interview (approximately 20–30 minutes total).
• Discussion of your clinical background, subspecialty focus, and ECG expertise.

Engagement Details

• This is an independent contractor engagement.
• The role is fully remote and may be completed on a flexible schedule.
• Project duration may vary depending on performance and evolving project needs.
• The work does not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are issued weekly via Stripe or Wise based on services rendered.
• Please note: Visa sponsorship, including H1-B or STEM OPT support, is not available for this role.

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