Medical Communications AI Evaluation Expert

OpenTrain AI, Inc.; Northern (KY); Hybrid; USD 69,000 - 110,000; Part time

Job summary

OpenTrain AI, Inc. seeks a Medical Communications AI Evaluation Expert to enhance AI-assisted healthcare communications on a part-time contract basis. You will create and review evaluation tasks, assess content for scientific accuracy, regulatory fit, fair balance, and audience messaging.

Responsibilities include tracing claims to literature, producing structured feedback, and helping develop rubrics and evaluation frameworks for improved AI systems in medical communications. English required.

Qualifications

• Experience in medical communications, medical education, or medical affairs.
• Experience producing scientific slide decks, advisory board summaries, medical education modules, or digital and web content.
• Advanced degree in life sciences, pharmacy, or medicine preferred.

Responsibilities

• Create evaluation tasks based on medical education modules, advisory board summaries, scientific slide decks, HCP materials, and digital medical content.
• Review AI-generated medical communications for scientific accuracy, compliance alignment, fair balance, clarity, tone, and strategic messaging.
• Check whether visual presentations explain complex scientific ideas accurately without oversimplifying them.
• Trace claims, infographics, and slide statements to scientific literature, trial data, and clinical summaries.
• Write structured feedback about model strengths and weaknesses and help develop quality rubrics, benchmarks, and evaluation frameworks.

Skills

Medical affairs

Scientific alignment

Regulatory constraints

Data integrity

Audience engagement

Structured critique

Editorial guidance

Education

Advanced life sciences/pharm/medicine degree

Job description

The work

OpenTrain AI is hiring a Medical Communications AI Evaluation Expert to improve AI-assisted tools used in healthcare communications. You will create and review evaluation tasks, then assess written and visual content for scientific accuracy, regulatory fit, fair balance, audience fit, and clear messaging.

• Create evaluation tasks based on medical education modules, advisory board summaries, scientific slide decks, HCP materials, and digital medical content.
• Review AI-generated medical communications for scientific accuracy, compliance alignment, fair balance, clarity, tone, and strategic messaging.
• Check whether visual presentations explain complex scientific ideas accurately without oversimplifying them.
• Trace claims, infographics, and slide statements to scientific literature, trial data, and clinical summaries.
• Write structured feedback about model strengths and weaknesses and help develop quality rubrics, benchmarks, and evaluation frameworks.

What it pays and takes

This contractor role focuses on medical communications content evaluation. The source lists the experience level as entry level, but the role requirements call for substantial professional experience in medical communications, medical education, or medical affairs.

• Pay: $50 to $80 USD per hour.
• Schedule: 20 or more hours per week.
• Work arrangement: Part-time contract work.
• Language: English.
• Location: Available in the countries listed for this role.
• Experience: At least five years in medical communications, medical education, or medical affairs.
• Required background: Experience producing scientific slide decks, advisory board summaries, medical education modules, or digital and web content.
• Skills: Medical affairs strategy, scientific platform alignment, regulatory constraints, data integrity review, audience engagement, structured critique, and editorial guidance.
• Preferred education: An advanced degree in life sciences, pharmacy, or medicine, 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.

About AI training work

AI training work uses human review and examples to improve how artificial intelligence systems respond. Medical communications experts are valuable because they can judge whether generated content is scientifically sound, appropriately balanced, and suitable for its intended audience.