Radiologist, Radiology AI Response Evaluator

You will evaluate how accurately AI systems handle radiology and diagnostic imaging information. Your reviews will help identify incorrect medical content, flawed reasoning, and inconsistencies in clinical scenarios and AI-generated responses.

• Review medical content related to radiology and diagnostic imaging.
• Assess radiology-related clinical scenarios and AI-generated responses.
• Identify medical inaccuracies, inconsistencies, and reasoning errors.
• Explain your findings clearly using established radiological principles.
• Apply specialist judgment to AI training and evaluation tasks.

What it pays and takes

This is a remote, part-time, project-based contractor engagement. The work requires professional radiology experience, a medical degree, and strong English skills.

• Pay: Not specified in the available role details.
• Work style: Remote, part-time, and project-based.
• Location: Open to qualified radiologists in participating countries across the Americas, Europe, Asia, Africa, and the Middle East.
• Language: Professional fluency in English.
• Education: MD, MBBS, or an equivalent medical degree.
• Experience: Relevant professional experience in radiology.
• Knowledge: Strong understanding of diagnostic imaging, image interpretation, and clinical decision-making in radiology.
• Skills: Critical assessment of medical information, clear explanation of complex concepts, analytical ability, and attention to detail.

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 systems that learn from examples, including reviewing model responses for accuracy and usefulness. Radiology specialists are needed because their clinical knowledge helps assess whether AI handles medical information and reasoning correctly.