Data Annotator – Pathology

Location: Utrecht (hybrid)
Hours: minimum 8 hours per week
Deadline: 1 June 2026

We are looking for enthusiastic medical or biomedical students to join our team as data annotators for a pathology project.

Automated pathology systems need to know exactly what is on a slide before they can act on it. In this role, you will annotate objects on pathology slides (both stained and unstained) including tissue, paraffin, and labels. Your annotations are used to train AI models that enable robots to automatically scrape tumor material from slides – a critical step in the diagnostic process for cancer patients.

You will work in DaVinci, our own cloud-based annotation platform, which is currently under active development. Your experience as an annotator directly informs how we improve the tool.

About XDMD

XDMD is an engineering company in medical imaging. We build custom-made AI solutions in close collaboration with clinical and industrial partners for radiology, pathology, or any other domain where medical images are used. Our work combines strong engineering discipline with deep domain understanding and we advance innovations from concept through production.

Requirements

• BSc student (or currently enrolled) in Medicine, Biomedical Sciences, or a related field
• Precise and detail-oriented
• Minimum 8 hours per week

Practical

• Flexible working hours
• Based at our office at UtrechtInc, the startup incubator of Utrecht University
• Remote work possible
• Applications are reviewed on a rolling basis
• Potential start date: as soon as possible

Please send your CV to vacancy@xdmd.ai, with “annotate” as the subject line.