Clinical Research AI Evaluation Specialist

You will evaluate AI-generated clinical research and biomedical content for accuracy, clarity, safety, and sound reasoning. You will also write expert explanations and model answers that show how clinical research questions should be handled.

The work focuses on evidence appraisal, clinical trial interpretation, study design, statistical reasoning, and scientific communication.

• Review AI-generated clinical research and biomedical content.
• Find problems with study design, statistics, endpoints, bias, confounding, and clinical trial methods.
• Fact-check medical and scientific claims against strong research standards.
• Write high-quality answers and explanations for clinical research topics.
• Rate and compare AI responses for correctness, rigor, clarity, and safety.
• Test outputs for misleading evidence interpretation and unsafe recommendations.

What it pays and takes

This is a short-term, hourly remote contractor role with flexible collaboration across time zones. The role is part time and requires at least 20 hours per week.

• Pay: $40-$70 USD per hour.
• Workload: 20+ hours per week.
• Location: Remote, with eligibility limited to the listed countries.
• Eligible countries: BD, BT, BR, KH, DE, IN, ID, MY, NP, PK, SG, LK, TH, PH, US, TL, and VN.
• Language: English, with minimum C1 proficiency.
• Education: Bachelor's degree or higher in public health, epidemiology, biostatistics, clinical research, biomedical sciences, PharmD, MD, DO, RN, or a related field.
• Experience: At least five years of professional clinical research experience.
• Knowledge: Study design, endpoints, inclusion and exclusion criteria, power and sample size intuition, and interpretation of results.
• Statistics: Effect sizes, confidence intervals, p-values, multiple comparisons, missing data, and sensitivity analyses.
• Research methods: Bias, confounding, causality, clinical trial operations, and GCP principles.
• Work style: Reliable, self-directed contractor experience across time zones.
• Preferred experience: AI data training, annotation, editorial quality assurance, systematic reviews, guideline work, literature review, evidence-based medicine, clinical trial design, or AI model evaluation.

How it works

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

About AI training work

AI training is the human work behind systems that generate and interpret information. Specialists review model responses, write strong examples, and explain what makes an answer accurate, safe, and useful.