Pathology AI Annotator (South Africa) - Fully Remote

Overview

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.

About this job

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.

What you'll do

• Annotate tumor cells, normal cells, and immune cells on digitized H&E and IHC slides.
• Classify tissue regions (tumor, stroma, necrosis, artifact) on whole-slide images.
• Score IHC biomarker expression (for example ER, PR, HER2, Ki-67) at cell level.
• Confirm or correct AI-proposed cell detections and classifications.
• Flag ambiguous cases and slide-quality issues per the project protocol.
• Apply structured annotation guidelines consistently across case batches.
• Work in the client's annotation software following provided training.

Pay: R450,00 - R1 250,00 per hour

Expected hours: 40.0 per week

Work Location: Remote