Oncology Clinical AI Evaluation Specialist

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping specialists discover projects, build a professional profile, and grow their experience in a fast-moving field.

Creating an OpenTrain account is free, and contributors can use their profile to present credible AI training experience while applying for specialized work.

About AI Training in Healthcare

AI training is the human side of building modern artificial intelligence. Clinical specialists help assess whether model-generated content is accurate, defensible, and useful, giving AI systems the expert feedback they need to improve.

This work is remote and can offer flexible, part-time schedules. It gives experienced professionals an opportunity to apply their knowledge directly to cutting-edge AI systems while choosing projects that match their expertise.

The Role

OpenTrain AI is recruiting an Oncology and Hematology Clinical AI Evaluation Specialist to author and review evaluation tasks based on clinical-trial and regulatory materials. You will apply nuanced medical judgment to model-generated interpretations and explain your reasoning in a structured way that non-clinical readers can understand.

The role focuses on determining whether conclusions about efficacy, safety, endpoints, toxicity, patient narratives, and benefit-risk decisions are clinically defensible rather than merely plausible on the surface. The listing is classified as entry level, while the work has substantial specialist requirements.

• Contractor and part-time engagement
• 20+ hours per week
• English-language work
• $160-$200 USD per hour
• Country eligibility applies according to the application listing

What You’ll Do

You will work with Clinical Study Reports, periodic safety reports, regulatory correspondence, protocols, investigator brochures, safety narratives, and related trial materials. Your evaluations will test the clinical validity, consistency, and usefulness of AI-generated interpretations.

You will also write guideline-based rationales that explain the validity or limitations of clinical interpretations for non-clinical audiences.

• Author and review clinical AI evaluation tasks
• Assess whether efficacy and safety conclusions reflect meaningful clinical significance
• Evaluate endpoints and effect sizes
• Review dose escalation, dose-limiting toxicity, dose modifications, adverse-event grading, and attribution
• Assess the coherence of patient narratives
• Evaluate benefit-risk reasoning and the realism of proposed management strategies
• Identify clinically implausible or internally inconsistent content
• Explain complex clinical reasoning in clear, structured writing

Required Qualifications

This role requires specialist-level oncology or hematology expertise, strong clinical-trial familiarity, and the ability to communicate complex medical reasoning clearly. Candidates should be comfortable interpreting trial reports, safety narratives, and regulatory materials while distinguishing clinically meaningful conclusions from superficially plausible ones.

• Specialist registration or board certification in medical oncology and/or haematology
• At least five years of post-training clinical experience
• Direct clinical-trial experience as an investigator, medical monitor, safety physician, or clinical development physician
• Proficiency with CTCAE and oncology response criteria, including RECIST, Lugano, IMWG, IWCLL, or ELN
• Experience interpreting clinical-trial reports, safety narratives, and regulatory materials
• Ability to assess efficacy, safety, and benefit-risk conclusions
• Strong structured written communication for non-clinical readers

Helpful Experience

The following background can further support success in this clinical AI evaluation work. These experiences are valuable because they involve structured review, clinical judgment, or communication across clinical and non-clinical audiences.

• Medical monitoring or medical director experience
• Participation in IDMC, DSMB, adjudication, or independent review committees
• Peer-reviewed publications
• Clinical-trial manuscript authorship
• Experience with AI-assisted clinical review tools
• Familiarity with protocols, investigator brochures, Clinical Study Reports, safety narratives, or DSMB and IDMC materials

Why Work With OpenTrain

OpenTrain helps professionals build careers in AI training and data labeling, including specialized work that draws on medicine and clinical research. By developing your OpenTrain profile, you can show relevant experience, discover projects aligned with your skills, and build a lasting portfolio in a growing technology industry.

Apply through OpenTrain to contribute expert oncology and hematology judgment to the development of better healthcare AI systems.