Medical Oncologist

About LabelaLabela is a community of doctors and life science experts helping push the frontier of AI. We work with leading AI teams to improve the quality, safety, and real-world usefulness of models across healthcare and science.Our experts contribute deep domain judgment to some of the most important problems in AI - from evaluating model performance to shaping better clinical reasoning, safer outputs, and more reliable healthcare applications.About the RoleWe're looking for Medical Oncologists with experience in breast, prostate, colorectal, or lung cancer to join our expert community and contribute to projects focused on evaluating and improving medical AI systems.In this role, you may review oncology-related clinical questions, assess model-generated responses, define what high-quality answers should include, and help ensure that AI systems are accurate, safe, and clinically useful in cancer care settings.This is a strong fit for physicians who are thoughtful, detail-oriented, and excited about applying their expertise to the future of AI.What You'll DoReview oncology-related prompts, patient scenarios, and AI-generated responsesAssess outputs for clinical accuracy, safety, completeness, and reasoning qualityHelp define criteria for strong responses in cancer diagnosis, management, treatment planning, and follow-upIdentify incorrect, unsafe, vague, or missing clinical informationSupport the development of benchmarks, evaluations, and training data for oncology-focused AI systemsBring expert judgment to projects at the intersection of cancer care and frontier AIWho We're Looking ForMD or DO with training in Medical OncologyMeaningful clinical experience in one or more of the following:Breast cancerProstate cancerColon or rectal cancerLung cancerActive clinical license preferredStrong clinical reasoning and attention to detailClear written communicationComfort working independently in a remote settingInterest in AI, healthcare innovation, or model evaluation is a plusNice to HaveExperience with complex cancer treatment decision-making and longitudinal patient managementFamiliarity with current standards of care, treatment pathways, and supportive care considerationsPrior experience with chart review, medical writing, utilization review, or clinical quality reviewWhy Join LabelaFlexible, remote, project-based workOpportunity to help shape the next generation of oncology AIWork alongside a community of physicians and life science expertsContribute your expertise to cutting-edge applications in healthcare and scienceTo ApplyPlease apply with your background, subspecialty expertise, licensure status, and any relevant experience in clinical review, medical writing, or AI-related work.