You will create and review evaluation tasks for AI tools used in medical communications and healthcare provider engagement. Your work will cover medical education modules, advisory board summaries, scientific slide decks, healthcare professional materials, and digital medical content.
You will assess both written and visual materials, explain model strengths and weaknesses, and help define reliable standards for evaluating medical communications.
- Review AI-generated content for scientific accuracy, regulatory and compliance alignment, fair balance, clarity, tone, audience fit, and strategic messaging.
- Judge whether communications are appropriate for healthcare professionals and patient audiences.
- Check visual presentation logic and confirm that complex scientific ideas are communicated accurately without oversimplification.
- Trace claims, infographics, and slide statements to scientific literature, trial data, and clinical summaries.
- Write detailed feedback and help establish benchmarks, quality rubrics, and evaluation frameworks.
What It Pays and Takes
This is a part-time contract role for an experienced medical communications, medical education, or medical affairs professional.
- Pay: $50 to $80 per hour.
- Language: Fluent English.
- Experience: At least five years in medical communications, medical education, or medical affairs.
- Background: Direct experience producing scientific slide decks, advisory board summaries, medical education modules, or digital and web content.
- Knowledge: Strong understanding of medical affairs strategy, scientific platform alignment, and regulatory constraints for healthcare professional and patient communications.
- Skills: Evaluate visual and written content for data integrity and audience engagement; provide structured critique and editorial guidance.
- Education: An advanced degree in life sciences, pharmacy, or medicine is preferred, or equivalent professional industry experience.
- Helpful experience: Work across therapeutic areas, especially oncology, neurology, or cardiology; familiarity with clinical summaries, trial data, and scientific source attribution.
- Location: Open to candidates in the listed countries across North America, South America, Europe, Asia, Africa, and the Middle East.
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 evaluate content. Contributors review examples, rate model outputs, and give clear feedback so AI systems can produce more accurate and useful results; specialized medical expertise is important when the content involves clinical information and healthcare communications.