Cardiologist

Handshake AI Fellowship; United States; Remote; USD 138,000 - 276,000; Part time

Job summary

Handshake AI Fellowship seeks cardiologists to support AI research through flexible, part-time contract work. You will apply your cardiovascular expertise to evaluate AI outputs and provide feedback to help models reason like practicing cardiologists.

This ongoing, project-based opportunity lets you work remotely, balancing it with your current role and schedule.

Qualifications

• MD/DO or equivalent medical degree completed.
• Residency and fellowship in cardiovascular disease completed.
• Currently licensed to practice medicine in the United States.
• Clinical depth in interventional cardiology, echocardiography, heart failure, EP, preventive cardiology, and valvular disease.
• Board certification or board eligibility in cardiovascular disease is a plus.

Responsibilities

• Use clinical expertise to create expert-level tasks based on real workflows (ECG interpretation, echocardiography, cardiac imaging review, and more).
• Review AI-generated responses for clinical accuracy, patient safety, and alignment with guidelines.
• Provide clear, structured written feedback to improve AI model performance.
• Work remotely and complete tasks at your own pace with no set schedule or minimum hour requirement.

Skills

Written communication

Attention to detail

Independent remote work

Education

MD/DO or equivalent

Residency + Cardiovascular disease fellowship

US medical license

Job description

Opportunity Overview

Handshake is looking for cardiologists to support AI research through flexible, part-time contract work. This is not a traditional job. You'll draw on your clinical training and hands-on experience in cardiovascular medicine, including coronary artery disease, heart failure, arrhythmias, valvular disease, and cardiac imaging, to evaluate AI-generated content and provide feedback that helps AI reason like a practicing cardiologist. The Handshake AI program runs year-round, with project opportunities opening periodically across different areas of expertise.

This is an ongoing, project-based opportunity you can take on alongside your current role.

What You'll Do

• Use your clinical expertise to create expert-level tasks that today's top AI models can't solve, based on real clinical workflows such as ECG interpretation, echocardiography and cardiac imaging review, cardiac catheterization findings, risk stratification, medication management, and treatment planning
• Review and evaluate AI-generated responses for clinical accuracy, patient safety, and alignment with current cardiology practice and guidelines
• Provide clear, structured written feedback to help improve AI model performance
• Work remotely and complete tasks at your own pace, with no set schedule or minimum hour requirement

Qualifications

• Degree and clinical training:
  • Completed MD, DO, or equivalent medical degree
  • Completed residency training, followed by fellowship training in cardiovascular disease
• Licensure: Currently licensed to practice medicine in the United States
• Clinical depth: Working knowledge in one or more of the following areas:
  • Interventional cardiology (cardiac catheterization)
  • Echocardiography and cardiac imaging
  • Heart failure and cardiomyopathy
  • Electrophysiology and arrhythmia management
  • Preventive cardiology and lipid management
  • Valvular and structural heart disease
  • Cardio-oncology or adult congenital heart disease

Additional Qualifications (not Required, But Strengthen Your Application)

• Board certification or board eligibility in cardiovascular disease, or additional subspecialty fellowship training
• Experience at an academic medical center or teaching hospital, peer-reviewed publications, or involvement in clinical research or AI-assisted medical tools

Required For All Applicants

• Must have US work authorization
• Strong written communication and attention to detail
• Ability to explain complex cardiovascular concepts clearly
• Ability to work independently in a remote, asynchronous environment

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