Remote Data Labeling Lead for AI Pipelines

Spore.Bio; Paris; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Remote work budget

Gymlib membership

Health insurance (Alan)

Swile card

Team events

Résumé du poste

Spore.Bio in Paris is seeking a rigorous Data Labelling Lead to scale the annotation engine at the heart of our AI pipeline. You will translate scientific needs into annotation strategies and build scalable, well-governed workflows as the team grows.

You will lead the annotation end-to-end, mentor the team, and ensure high-quality data for microbiological detection models, bridging scientific domain knowledge with ML production requirements.

Qualifications

• MSc or engineering degree in a related field.
• 5 years in data annotation or ML data operations.
• Strong understanding of ML data needs and annotation impact.

Responsabilités

• Define annotation guidelines and schemas.
• Own end-to-end annotation workflows and QC.
• Manage external annotation vendors and delivery.
• Track progress and report to stakeholders.
• Line-manage and mentor QC Specialist.

Connaissances

Data annotation

ML data ops

Python scripting

Labeling platforms

Dashboard/KPI tracking

Mentoring

Project management

Formation

MSc or engineering degree in a related field

Outils

CVAT

Label Studio

Labelbox

Scale AI

Description du poste

Spore.Bio in Paris is seeking a rigorous Data Labelling Lead to scale the annotation engine at the heart of our AI pipeline. You will translate scientific needs into annotation strategies and build scalable, well-governed workflows as the team grows.

You will lead the annotation end-to-end, mentor the team, and ensure high-quality data for microbiological detection models, bridging scientific domain knowledge with ML production requirements.