Oncology and Hematology Clinical AI Evaluation Specialist

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps specialists discover projects, build a professional profile, and apply for opportunities that put their expertise to work shaping advanced AI systems.

About AI Training in Healthcare

AI training is the human side of building artificial intelligence. Experts review model outputs, create evaluation examples, and explain why an answer is accurate, incomplete, unsafe, or clinically indefensible. In healthcare, this specialized feedback helps make AI systems more reliable for complex clinical reasoning.

The Role

OpenTrain AI is seeking an Oncology and Hematology Clinical AI Evaluation Specialist to improve AI systems used in healthcare. You will author and review evaluation tasks based on clinical trial and regulatory materials, apply nuanced medical judgment to model-generated interpretations, and explain clinical reasoning clearly for non-clinical readers.

The work centers 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. This is a remote, part-time contractor opportunity open worldwide, with a commitment of 20 or more hours per week.

• Contractor and part-time engagement
• Worldwide opportunity
• 20+ hours per week
• English-language work
• Pay range: $160–$200 USD per hour

What You'll Do

You will create and evaluate tasks using Clinical Study Reports, periodic safety reports, regulatory correspondence, protocols, investigator brochures, safety narratives, and related clinical-trial materials. Your reviews will test whether AI-generated interpretations are medically coherent, evidence-based, and appropriate for the available data.

You will also write structured, guideline-based rationales that explain the validity or limitations of clinical interpretations in language that non-clinical readers can understand.

• Assess whether efficacy and safety conclusions reflect meaningful clinical significance.
• Evaluate endpoints, effect sizes, and conclusions about treatment outcomes.
• Review dose escalation, dose-limiting toxicity, and dose modifications.
• Assess adverse-event grading and attribution.
• Evaluate the coherence and clinical plausibility of patient narratives.
• Judge benefit-risk reasoning and whether proposed management strategies are realistic.
• Identify clinically implausible, contradictory, or internally inconsistent content.
• Explain clinical reasoning, evidence, and limitations in a structured format.

Required Qualifications

This role requires specialist-level oncology or hematology expertise and substantial clinical-trial familiarity. The source listing identifies the experience level as entry level, but also specifies the professional qualifications below; applicants should review these requirements carefully.

• 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, sub-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 audiences.

Helpful Experience

The following background is valuable for this work and may help you contribute to nuanced clinical AI evaluations.

• Medical monitoring or medical director experience.
• Participation in IDMC, DSMB, adjudication, or independent review committees.
• Peer-reviewed publications.
• Clinical-trial manuscript authorship.
• Experience with clinical study reports, protocols, investigator brochures, safety narratives, or DSMB and IDMC materials.
• Exposure to AI-assisted clinical review tools.
• Clear, structured writing that makes complex clinical reasoning accessible to non-clinical readers.

Why Work With OpenTrain

Every major AI system depends on examples and expert feedback prepared by people. By working with OpenTrain, you can apply your oncology and hematology knowledge to cutting-edge AI development while building a portfolio of specialized training work.

OpenTrain accounts are free, and your profile can help you show credible experience, discover projects aligned with your skills, and grow an AI training career over time.

• Remote work that can fit around other professional commitments.
• Directly influence how advanced AI systems handle clinical reasoning.
• Build a professional profile around specialized AI training experience.
• Find opportunities in a rapidly growing field without leaving your clinical domain.