Oncologist Position: Oncologist – AI Medical Evaluation Type: Hourly Contract Compensation: $350–$450/hour Location: Remote — United States About the Opportunity We are seeking experienced Oncologists to contribute clinical expertise to an advanced AI research project focused on improving medical reasoning in oncology. This short-term opportunity involves evaluating AI performance in real-world oncology scenarios, particularly clinical trial design, patient eligibility, and treatment decision-making.

Responsibilities

Evaluate AI-generated responses to complex oncology cases. Assess clinical reasoning related to treatment decisions and patient eligibility. Review clinical trial design and patient-selection criteria. Identify gaps, inaccuracies, and weaknesses in AI-generated medical reasoning. Provide structured clinical feedback to support AI model training and evaluation. Apply evidence-based oncology knowledge to real-world clinical scenarios.

Required Qualifications

Licensed physician specializing in Oncology . Based in the United States . Hands-on clinical practice experience in oncology. Strong understanding of cancer treatment, clinical trials, and patient eligibility. Excellent analytical skills and ability to assess complex clinical reasoning. Strong written communication skills and attention to detail.

Preferred Qualifications

Experience in clinical trial design or patient eligibility assessment. Expertise in evidence-based oncology treatment and clinical decision-making. Experience reviewing clinical research or medical literature. Previous experience with AI evaluation or medical research projects. Compensation & Engagement Compensation: $350–$450/hour Engagement Type: Hourly contract Work Arrangement: Fully remote Location Eligibility: United States Project Duration: Short-term, with potential extension based on performance Project Focus: Oncology reasoning, clinical trial evaluation, and AI research Application Process Submit your application with your resume and relevant oncology experience. Demonstrate your clinical practice experience and qualifications. Complete any required clinical or domain-specific assessment. Complete the hiring team review. Complete onboarding and project-specific instructions if selected. Begin evaluating oncology-related AI outputs and providing structured clinical feedback.