Oncologist
Listing checked October 8, 2026 · pay as published by Mercor
Overview
Mercor partners with a leading AI research lab to sharpen how frontier models handle real medical cases in oncology. The project centers on clinical trial design, patient eligibility, and treatment choices, with the aim of finding where AI reasoning breaks down. Practicing US oncologists with clinical trials experience build realistic tasks and review model output for clinical accuracy. The engagement runs remote and short term, pays per hour, and may extend based on performance.
What You'll Do5
- 1Create realistic oncology tasks and scenarios, with a focus on clinical trials, that reveal gaps in frontier AI model responses
- 2Review AI clinical reasoning for accuracy, completeness, and alignment with current standard-of-care guidelines
- 3Find flawed logic, missed diagnoses, incomplete treatment rationale, or unsafe recommendations in model outputs
- 4Provide expert responses and chain-of-thought reasoning that reflect real clinical decision-making
- 5Maintain clinical rigor and accuracy in every contribution
Requirements9
- 1MD or DO with a completed fellowship in medical oncology or hematology/oncology
- 2Active, unrestricted US medical license
- 3Current US practice with direct care of oncology patients
- 4Three or more years of post-fellowship experience in your current role (preferred)
- 5Direct involvement in oncology clinical trials as a PI, sub-investigator, or treating physician
- 6Working knowledge of trial protocols, eligibility criteria, and regulatory frameworks such as FDA rules and RECIST
- 7Skill in presenting clinical reasoning in written form with precision and clarity
- 8Keen attention to detail when judging the safety and accuracy of AI-generated medical content
- 9Not a fit: radiation oncology, surgical oncology, or oncology work outside clinical practice
Who Should Apply
A practicing US medical oncologist or hematologist/oncologist with a completed fellowship fits this project best. The work suits someone who has served as a PI, sub-investigator, or treating physician on oncology clinical trials and can write out clinical reasoning with precision. Candidates who work in radiation oncology, surgical oncology, or roles without direct patient care fall outside the scope. Common rejections happen when an applicant holds a license but does not see oncology patients in current practice, or when they list trial exposure without hands-on protocol or eligibility work. A missing US license or fellowship in medical oncology or hematology/oncology also blocks fit.
Salary Insight
The source lists $380.00 per hour. That rate sits at the high end for expert medical review work and reflects the demand for an active US oncologist who has direct clinical trial experience.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$380/hr
Most AI Training roles pay $40–$97 per hour. This role's pay sits above that range.
Based on 1,035 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Compensation
$380/hr
Required Skills
Application Tip
Lead with your credentials: active unrestricted US license, completed medical oncology or hematology/oncology fellowship, and current patient care. Name your exact clinical trial role (PI, sub-investigator, or treating physician) and cite protocols, eligibility criteria, FDA rules, and RECIST. A short writing sample that shows step-by-step clinical reasoning for a trial eligibility question will set your application apart.
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