Cardiologist AI Response Evaluator

You will create challenging cardiovascular tasks and evaluate responses produced by AI systems. Your reviews will focus on clinical accuracy, patient safety, and alignment with current cardiology practice and guidelines.

The work is remote, project-based, and completed independently at your own pace. Tasks may cover ECG interpretation, cardiac imaging, catheterization findings, risk stratification, medication management, and treatment planning.

• Create expert-level cardiovascular tasks based on real clinical workflows.
• Review AI-generated responses for accuracy, patient safety, and guideline alignment.
• Write clear, structured feedback that identifies errors and supports better model performance.
• Apply cardiology judgment across areas such as ECGs, imaging, catheterization, and treatment planning.

This is an ongoing, part-time contractor opportunity that can be taken on alongside your current role. The work has no set schedule or minimum hour requirement in the role description, and the structured listing calls for 20+ hours per week.

• Pay: up to $180 per hour.
• Location: open to candidates in the United States.
• Language: professional fluency in English.
• Work arrangement: remote, flexible, asynchronous, project-based, and part-time.
• Education: MD, DO, or an equivalent medical degree.
• Training: completed residency followed by fellowship training in cardiovascular disease.
• Licensure: current medical licensure in the United States.
• Clinical knowledge: working knowledge of at least one cardiovascular area, including interventional cardiology, echocardiography, cardiac imaging, heart failure, electrophysiology, preventive cardiology, valvular disease, cardio-oncology, or adult congenital heart disease.
• Skills: strong written communication, close attention to detail, and the ability to explain complex cardiovascular concepts clearly.
• Working style: ability to work independently in a remote, asynchronous setting.
• Helpful background: board certification or eligibility, additional subspecialty fellowship training, academic medical center or teaching hospital experience, peer-reviewed publications, clinical research, or experience with AI-assisted medical tools.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work is the human side of building artificial intelligence. Specialists create examples, review model responses, and provide feedback so AI systems become more accurate and safer in areas such as medicine; OpenTrain helps people find these roles and start their applications.