Medical Professional AI Response Evaluator
Listed on 2026-11-07
-
Business
AI Evaluation
Medical professionals in the United States can earn up to $300 per hour evaluating AI-generated medical responses. The work is asynchronous and requires at least four years of relevant professional experience.
Remote Hourly · $300/hr
$300/hr
Compensation
Contract, part-time
Engagement
Remote
Location
Posted
Open to applicants in
United States
The workYou will evaluate AI-generated medical prompts, responses, and other field-specific content. You will use project guidelines to make careful judgments and provide clear feedback that helps improve how AI systems respond.
This listing is anchored to the Medical Professional role. Review the duties and qualifications before applying.
- Evaluate AI-generated medical responses and prompts.
- Review source materials and model outputs against project guidelines.
- Apply project rubrics and document evidence-based judgments.
- Explain your decisions clearly in written feedback.
- Maintain consistent quality across repeated review tasks.
This is flexible, asynchronous contractor work for candidates in the United States. Prior AI training experience is not required, but the role calls for substantial professional experience in a relevant medical field.
- Pay: up to $300 per hour.
- Schedule:
20 or more hours per week. - Location:
Open to candidates in the United States. - Experience:
At least four years of professional experience in one or more relevant medical roles. - Relevant backgrounds include pediatrics, general neurology, ophthalmology, diagnostic medical sonography, psychiatry, and pharmacy. The source also references pediatric anesthesiology with an exclusion, so review the qualifications carefully before applying.
- No prior AI training experience is required.
- Estimated project earnings: $48,000 based on the schedule and duration shown on Open Train.
Apply on Open Train with your resume, then complete the application on the hiring site.
About AI training workAI training is the human work behind systems that generate and understand text. Evaluators review model responses, apply their subject knowledge, and explain what is accurate, useful, or unsafe so models can improve. Open Train helps people find this kind of work, build a profile, and apply to projects in one place.
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