Negotiable
Undetermined
Remote
EMEA
Summary: The role of a Cardiologist (Remote) involves contributing to a project at a leading AI research lab, focusing on evaluating large language models' ability to interpret advanced ECG/EKG cases. Candidates from various cardiology subspecialties are encouraged to apply, particularly those with expertise in Electrophysiology and Clinical Cardiology. The position is fully remote, allowing for flexible scheduling, and requires independent contractor status.
Key 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 AI model reasoning
Key Skills:
- 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
- Current residence in the United States
- Exceptional attention to detail and accuracy
- 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
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Title: Cardiologist (Remote)
Engagement: Hourly contract (independent contractor)
RATE: USD 300-400/Hour
Location: Remote – candidates based in the United States, United Kingdom, Canada, Europe, Singapore, Dubai, or Australia who are legally able to work as independent contractors in their jurisdiction.
Job Overview
One of our clients, a leading AI research lab, is seeking fellowship-trained cardiologists to contribute to a project evaluating the ability of large language models to interpret advanced, real-world ECG/EKG cases. Cardiologists across all subspecialties are encouraged to apply, with particular interest in experts in Electrophysiology and Clinical Cardiology.
Qualifications
You’re a good fit if you 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
- Current residence in the United States
- Exceptional attention to detail and accuracy
- 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
Key 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 AI model reasoning
Screening Process
Short interview (~20–30 minutes)
Discussion of your clinical background and subspecialty expertise
Reasonable accommodations are provided upon request
Contract and Payment Terms
Engagement as an independent contractor
Fully remote role, with flexible scheduling
Projects may be extended, shortened, or concluded early depending on needs and performance
Work does not involve access to confidential or proprietary information from any employer, client, or institution
Payments are weekly via Stripe or Wise based on hours worked
H1-B or STEM OPT candidates cannot be supported at this time
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