Medical AI Response Evaluator

The work

You will evaluate AI-generated medical responses and create expert healthcare content when needed. Your reviews will focus on whether answers are accurate, clear, complete, aligned with the prompt, and safe for patients.

You will assess clinical reasoning across outpatient, emergency, and inpatient scenarios. This includes reviewing differential diagnoses, risk stratification, red-flag recognition, timelines, physiology, dosing logic, contraindications, and factual medical claims.

• Review AI-generated medical answers for accuracy, clarity, and prompt adherence.
• Evaluate step-by-step clinical reasoning and conceptual understanding.
• Fact-check medical claims and identify unsafe assumptions, missing contraindications, and timeline errors.
• Write clear explanations and model solutions that show correct medical reasoning.
• Compare multiple responses and rank them by correctness, reasoning quality, and patient safety.
• Contribute expert healthcare content used to train and validate medical AI systems.

What it pays and takes

This is an intermediate-level, part-time contractor role with a remote hourly workflow. The work requires strong medical judgment, careful writing, and close attention to detail when reviewing healthcare content.

• Pay: $90 USD per hour.
• Time: 20 or more hours per week.
• Work type: Remote, part-time contractor.
• Location: Open to people in Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, the United States, Timor-Leste, and Vietnam.
• Language: C1-level English or stronger.
• Background: Medical, nursing, public health, health sciences, or allied health experience.
• Knowledge: Epidemiology, clinical medicine, healthcare systems, patient care, disease processes, medical terminology, and public-health principles.
• Experience: Confident clinical reasoning across outpatient, emergency, and inpatient settings.
• Preferred: Experience in AI data training, clinical documentation review, utilization review, or healthcare editorial quality assurance.
• Helpful: Experience explaining clinical decisions clearly in writing and a reliable, self-directed work style.

How it works

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

About AI training work

AI training work uses human review and examples to help artificial intelligence produce more accurate and useful results. Medical specialists are needed to check clinical facts, reasoning, and safety because these systems must handle complex healthcare information carefully.