You will review medical information and evaluate AI-generated responses across a range of clinical topics. The work uses your clinical knowledge to judge whether scenarios and answers are accurate, relevant, and supported by sound medical reasoning.
You will explain your findings clearly and provide evidence-based feedback that can help improve AI systems used for medical information and question answering.
- Review medical information across different clinical topics.
- Assess medical scenarios and AI-generated responses for accuracy and clinical relevance.
- Identify errors, inconsistencies, and gaps in medical reasoning.
- Explain findings using clear, evidence-based medical judgment.
What it pays and takes
This is a remote, part-time, project-based contractor role.
The available role details do not state a pay rate. Candidates must be able to assess medical information carefully and communicate their conclusions clearly.
- Remote work open to candidates in the listed countries across multiple regions.
- Part-time, project-based contractor position.
- MD, MBBS, or equivalent medical degree required.
- Relevant professional experience in medicine or clinical practice required.
- Strong medical knowledge, clinical reasoning, analytical ability, and attention to detail required.
- Experience reviewing clinical scenarios, medical answers, or structured evidence-based feedback is helpful.
- Professional fluency in English required.
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 and rating model responses. Medical professionals help evaluate whether AI-generated information is accurate, useful, and clinically sound.