Disease-Area Clinician – Trial Endpoints & Prescribing

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect contributors with specialized projects, help them build a professional profile, and make it possible to apply for opportunities in minutes.

OpenTrain AI is recruiting for this paid contractor engagement. Creating an OpenTrain account is free.

About AI Training and Expert Evaluation

AI training is the human side of building artificial intelligence. People with specialized expertise create examples, review model outputs, and develop evaluation standards that help AI systems produce more accurate and useful results.

In this project, your clinical judgment will help improve how AI evaluates drugs and drug-development programs, including whether clinical evidence is likely to influence prescribing and real-world adoption.

The Role

OpenTrain is seeking a disease-area clinician to create and critique rubrics for expert human evaluation of commercial drugs and drug-development programs. You will apply deep therapeutic-area knowledge during a short biotech and pharmaceutical AI training pilot.

The work focuses on interpreting clinical trial endpoints, assessing their potential effect on prescribing behavior, and evaluating the likely real-world uptake of drugs and development programs in your specialty.

• Remote contractor engagement
• US-based applicants only
• Approximately 10–20 total hours over a 1–2 week pilot
• Default commitment: 15 hours per week
• Pay: $150–$230 per hour
• Short-term project with potential for recurring work for strong contributors

What You'll Do

You will use your clinical and pharmaceutical development expertise to design evaluation criteria and assess drug-related analyses across the pilot's set of programs.

• Create rubrics for analyzing commercial drugs and drug-development programs
• Critique existing rubrics and improve their usefulness for expert evaluation
• Interpret clinical trial endpoints
• Judge whether trial results would change prescribing behavior
• Assess likely real-world uptake within your therapeutic area
• Evaluate the clinical and commercial implications of drug programs

Requirements

This role requires an actively practicing physician with deep expertise in a specific therapeutic area. Applicants should be able to connect clinical evidence and trial endpoints to prescribing decisions, treatment adoption, and drug-development outcomes.

• US-based practicing physician with an MD or DO
• Board-certified in your therapeutic area or specialty
• Deep expertise in a specific disease area or therapeutic area
• Familiarity with biotech and pharmaceutical drug-development programs
• Experience interpreting clinical trial endpoints
• Ability to evaluate how results could affect prescribing behavior
• Ability to assess real-world uptake and commercial implications
• Professional fluency in English

Why This Work Matters

Every major AI system depends on human-prepared examples and expert reviews. By contributing your medical expertise, you can help shape AI systems that better understand clinical evidence and evaluate important questions in drug development.

The engagement is designed for focused, flexible part-time participation and may lead to recurring opportunities for contributors whose work meets the project's standards.