What the work is
1. Role Overview
This is a short-term, high-impact, remote opportunity for oncologists excited about applying their clinical expertise to frontier AI research, with the possibility of extension based on performance.
2. Key Responsibilities
- Create realistic, nuanced oncology tasks and scenarios, particularly around clinical trials, that expose weaknesses in frontier 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
- Maintain high standards of clinical rigor and accuracy throughout all contributions
3. Required Qualifications
You are a strong fit for this project if you meet all of the following:
- MD or DO with a completed fellowship in medical oncology or hematology/oncology
- Active, unrestricted US medical license
- Currently practicing in the United States and seeing oncology patients
- 3+ years of post-fellowship experience in your current role strongly preferred
- Active involvement in or direct experience with oncology clinical trials (ast a PI, sub-investigator, or treating physician)
Not in scope for this project: radiation oncology, surgical oncology, oncology no in clinical practice.
Other qualifications:
- Deep familiarity with clinical trial protocols, eligibility criteria, and regulatorB, FDA, RECIST criteria)
- Ability to articulate clinical reasoning clearly and precisely in written form
- Strong attention to detail in evaluating the accuracy and safety of AI-generated me
4. Application & Onboarding
- Credential verification: license status, fellowship completion, and current practice
- Final roster placement is confirmed with the project team before your start date
The platform posted this on 8 Oct 2026.