Medical Image Segmentation Annotator
About the role
You'll draw precise segmentation masks over anatomical structures in CT scans, MRI slices, X-rays, and histopathology slides using DICOM-compatible tools such as OHIF Viewer or ITK-SNAP. Work includes labeling organs, lesions, tumors, and tissue boundaries at the pixel level, following detailed clinical annotation guides provided per project. Throughput expectations vary by modality - a straightforward chest X-ray organ label takes minutes, while a multi-class abdominal CT series can take 30–45 minutes per volume.
Skills
- DICOM image handling
- Segmentation mask drawing
- Anatomical structure recognition
- ITK-SNAP or OHIF Viewer
- Attention to fine boundary detail
- Medical annotation guideline compliance
Where you can work
This role is 100% remote: you can work from anywhere in the world.
From Claru's job posting, checked Oct 18, 2026.
About Claru
Reka AI's data business: paid first-person phone video capture and expert AI evaluation.
How it pays: Trolley bank transfer; approved balances paid every Tuesday once over the $50 minimum (Airtm, PayPal and Payoneer are not supported); the contract allows up to 60 days.
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