Annotate digitized cancer tissue slides for AI diagnostic systems, identifying and classifying cells and tissue regions on H&E and IHC-stained whole-slide images.
We're seeking board-certified pathologists to annotate whole-slide images used to train AI systems for cancer diagnostics. The work involves cell-level and region-level annotation on H&E and immunohistochemistry (IHC) stained slides: marking tumor cells, classifying cell types, scoring biomarker expression, and correcting AI-proposed annotations. Annotation is done in the client's own digital pathology software, with full training provided. Each annotation becomes labeled training data that directly shapes how the model reads tissue.
Both engagement types are available for this role: flexible hours alongside your clinical practice, or a dedicated full-time position (160 hours per month) with fixed working hours for a single client. State your preferred arrangement when you apply.
A vetted network of doctors, scientists, and regulatory specialists who train and evaluate the models behind drug discovery, clinical trials, medical devices, and healthcare. Remote, flexible, matched to your field.