Heart Failure & Transplant Cardiologist
Quick facts
- Pay
- $80 - $285/hour
- Type
- Part-time
- Location
- Remote
- Background
- MD / physician
- Platform
- Micro1 — 416 open jobs
- Typical pay at Micro1
- $20–180/hour · median $68 (405 jobs on our site)
- Payout
- Deel (twice a month)
- Apply
- Free to apply — never pay to get AI training work
About the Role
micro1 is seeking experienced Cardiologists specializing in heart failure and advanced cardiovascular care to contribute to AI training and evaluation projects. This opportunity involves applying specialized clinical knowledge to assess AI-generated medical information related to heart failure, complex cardiovascular conditions, and advanced treatment strategies.
Key Responsibilities
Evaluate AI-generated clinical content related to heart failure diagnosis and management.
Review medical scenarios involving advanced heart failure, cardiomyopathies, and complex cardiovascular care.
Assess the accuracy of clinical reasoning involving mechanical circulatory support, transplantation, and advanced therapies.
Provide evidence-based feedback to improve AI-generated medical recommendations.
Requirements
MD, DO, or internationally equivalent medical degree.
Board certification in cardiology or equivalent specialist qualification.
Active or recent clinical practice in heart failure or advanced cardiovascular medicine.
Strong knowledge of heart failure management, cardiomyopathies, and advanced cardiovascular therapies.
English proficiency at B2 level or above.
Preferred Qualifications
Specialized training in advanced heart failure or transplant cardiology.
Experience with ventricular assist devices, transplant evaluation, or mechanical circulatory support.
Previous experience in AI model evaluation, medical annotation, or RLHF.
Selection Process
Application
AI Interview
Domain-Specific Screening
Onboarding Call
Prior AI experience is not required.
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micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.