Title: Cardiologist - N (Remote) Employment Type: Hourly Contract Location: Remote (San Francisco, CA preferred for in-person collaboration) Compensation: $250–$300 per hour
Role One of our clients is hiring board-certified or board-eligible Cardiologists to support the development of advanced clinical decision-support systems focused on cardiovascular diagnostics, risk stratification, and longitudinal cardiac care. This opportunity connects real-world cardiology practice with applied AI to ensure safe, guideline-aligned clinical reasoning.
About the Role You will apply cardiovascular expertise to review, annotate, and validate complex cardiac datasets. Your clinical insight will directly shape AI systems supporting diagnostic interpretation, therapeutic planning, and high-risk cardiovascular decision-making.
Key Responsibilities Review and label cardiology consult notes, ECGs, imaging summaries, catheterization reports, and case data Validate diagnoses, risk scores, medication regimens, and procedural decisions Audit datasets for clinical accuracy and alignment with ACC/AHA guidelines Review AI-generated treatment summaries and recommendations for safety and soundness Define annotation standards for acute and chronic cardiac conditions Advise on complex cases including heart failure, arrhythmias, acute coronary syndromes, and structural heart disease
Ideal Qualifications MD or DO, board-certified or board-eligible in Cardiology Active U. S. medical license5+ years of clinical cardiology experience preferred Strong background in ECG interpretation, cardiac imaging, and cardiovascular pharmacotherapy Interest in medical AI, informatics, or clinical data validation preferred
More About the Opportunity Independent contractor engagement Fully remote with flexible scheduling (San Francisco presence preferred for select collaboration) Weekly payments via Stripe or Wise Project scope may vary based on performance and operational needs No access to confidential or proprietary employer information Unable to support H1-B or STEM OPT candidates
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