Mercor review · AI Training & Data Labeling
Oncologist — Clinical Trial Reasoning AI Evaluation (Mercor)
What the work involves
Mercor is collaborating with a leading AI research lab on a project to advance frontier medical problem-solving in oncology. You'll create realistic, nuanced oncology tasks and scenarios — particularly around clinical trials — that expose weaknesses in AI model responses, evaluate AI-generated clinical reasoning for accuracy, completeness and alignment with current standard-of-care guidelines, identify flawed logic, missed diagnoses, incomplete treatment rationale or unsafe recommendations, and provide clear, well-structured expert responses and chain-of-thought reasoning that reflect real clinical decision-making.
It's a short-term, high-impact remote opportunity with the possibility of extension based on performance.
What you'll do
- Create realistic, nuanced oncology tasks and scenarios, particularly around clinical trials, that expose weaknesses in AI model responses
- Evaluate AI-generated clinical reasoning for accuracy, completeness and alignment with current standard-of-care guidelines
- Identify flawed logic, missed diagnoses, incomplete treatment rationale or unsafe recommendations in model outputs
- Provide clear, well-structured expert responses and chain-of-thought reasoning that reflect real clinical decision-making
Requirements & eligibility
- MD or DO currently pursuing or having completed a fellowship in medical oncology or hematology/oncology
- Currently practicing in the United States and seeing oncology patients, or having done so within the past three years
- 3+ years of post-residency experience strongly preferred
- Ability to articulate clinical reasoning clearly and precisely in written form
- Based in the United States
How to apply
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