Cardiac Imaging Specialist AI Trainer (English)

You will evaluate AI-generated interpretations and explanations of cardiovascular imaging findings. The work focuses on whether medical content is accurate, clinically appropriate, and useful.

You will review scenarios involving echocardiography, cardiac MRI, cardiac CT, and related diagnostic imaging methods. You will also give expert feedback on cardiovascular imaging terms, findings, diagnostic conclusions, reasoning, and recommendations.

• Review AI-generated cardiac imaging interpretations and explanations.
• Assess diagnostic conclusions and imaging-related clinical reasoning.
• Evaluate clinical recommendations for accuracy and appropriateness.
• Provide feedback that improves the quality of AI-generated medical content.

What it pays and takes

This is a remote, part-time independent contractor role.

• Pay: $80 to $285 per hour.
• Work type: Remote, part-time contract work.
• Location: Open to candidates in the countries specified for this project.
• Language: English proficiency at B2 level or above.
• Education: MD, DO, or an internationally equivalent medical degree.
• Credentials: Board certification in cardiology or an equivalent specialist qualification.
• Experience: Active or recent clinical practice in cardiology with substantial cardiovascular imaging experience.
• Imaging expertise: One or more of echocardiography, cardiac MRI, or cardiac CT.
• Helpful background: Advanced cardiovascular imaging training or certification, medical imaging research, AI evaluation, data labeling, or annotation experience.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.

About AI training work

AI training is the human work behind many artificial intelligence systems. Specialists review examples and model responses, then provide careful judgments that help improve accuracy, safety, and usefulness in a specific field.