Oncologist (Train AI Models Part Time!)

**1\. Role Overview** Mercor is collaborating with a leading AI research lab on a project to advance frontier medical problem-solving in oncology. We are looking for oncologists based in the United States with hands-on clinical practice experience. The goal of this project is to identify gaps in AI model reasoning around real-world oncology cases, particularly in clinical trial design, patient eligibility, and treatment decision-making, and to support the training of cutting-edge AI models. 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 **3\. Qualifications** You are a **strong** fit for this project if you meet most or all of the following: - MD or DO who is currently pursuing or has completed a fellowship in medical oncology or hematology/oncology - Currently practicing in the United States and seeing oncology patients, or has 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