Medical Communications Manager AI Evaluation Expert

You will help evaluate AI-assisted tools used for medical communications and healthcare provider engagement. The work covers written and visual materials for healthcare professionals and patient audiences.

You will create and review evaluation tasks based on medical education modules, advisory board summaries, scientific slide decks, healthcare provider materials, and digital medical content. You will also write detailed feedback, support quality rubrics, and help build benchmarks for medical communications evaluation.

• Assess AI-generated content for scientific accuracy, regulatory and compliance alignment, fair balance, audience fit, clarity, tone, and strategic messaging.
• Review visual presentation logic and check that complex scientific ideas are communicated accurately without oversimplification.
• Trace claims, infographics, and slide statements to scientific literature, trial data, and clinical summaries.
• Evaluate data integrity and audience engagement across written and visual content.
• Explain model strengths and weaknesses through structured critique and editorial guidance.

What it pays and takes

This is a part-time contractor role for someone with professional experience in medical communications, medical education, or medical affairs.

• Pay: $50 to $80 per hour.
• Work type: Part-time contract work.
• Location: Open to candidates in the countries specified for this role across North America, South America, Europe, Asia, Africa, and the Middle East.
• 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: Medical affairs strategy, scientific platform alignment, and regulatory constraints for healthcare professional and patient communications.
• Skills: Strong written communication, structured critique, editorial guidance, and the ability to assess visual and textual content for data integrity and audience engagement.
• 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, plus familiarity with clinical summaries, trial data, and scientific source attribution.

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 generate and evaluate content. People review examples, judge model responses, and give clear feedback so AI systems produce more accurate and useful results.

Specialized reviewers are important because medical communications require careful attention to evidence, audience, compliance, and scientific meaning.