Define and maintain annotation guidelines and labelling schemas for optical/microbio datasets
Own end-to-end annotation workflows: task scoping, assignment, QC checkpoints, delivery, and feedback loops
Anticipate bottlenecks and drive continuous optimisation as the team and scope scale
Intake and prioritise annotation demand from ML and R&D teams; translate into sprint-level plans
Own relationships with external annotation vendors; ensuring excellence in quality and delivery
Track progress and report delivery status to stakeholders
Own the annotation dashboard and define KPIs; escalate quality or capacity risks proactively
Line-manage and mentor the QC Specialist and any future team member

MSc or Engineering degree in Biomedical Engineering, Bioinformatics, Computer Vision, Data Science, or related field
5 years in data annotation, ML data operations, or a closely related role
Strong understanding of ML model requirements and how annotation quality affects model performance
Exposure to biomedical microscopy, biophotonics, or life-science imaging strongly preferred
Proven track record managing annotation/data pipelines at scale (10k+ samples or equivalent)
Proficiency with Python scripting for workflow automation and data QC
Experience translating complex scientific or technical requirements into clear annotation guidelines
Familiarity with at least one annotation platform (CVAT, Label Studio, Labelbox, Scale AI, etc.)
Experience designing and maintaining annotation dashboards and KPI tracking systems

Flexible remote: If you live in Paris, you can work from our office or from your place with no constraints.
A budget for remote work equipment
A Gymlib subscription for you to stay in shape wherever you are
Premium health insurance (Alan in France)
A Swile card for your meals, if you are based in France
Frequent team events and in-person gatherings every quarter!

Data Labeling Lead

Key skills