Data Labeling Lead

Spore.Bio
Paris, FrancePosted Jun 25, 2026
This website uses cookies to ensure you get the best experience. Spore.Bio and our selected partners use cookies and similar technologies (together “cookies”) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes. See our Cookie Policy to read more about the cookies we set. You can withdraw and manage your consent at any time, by clicking “Manage cookies” at the bottom of each website page. Accept all cookies Decline all non-necessary cookies Cookie preferences Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link “Manage Cookies”, that is always available at the bottom of the site. To learn more about what the different types of cookies do, how your data is used when they are set etc, see our Cookie Policy. Strictly necessary These cookies are necessary to make the site work properly, and are always set when you visit the site. Vendors Teamtailor Analytics These cookies collect information to help us understand how the site is being used. Vendors Teamtailor Accept these cookies Decline all non-necessary cookies Skip to main content Career menu Employee Log in as employee Candidate Log in to Connect Machine Learning Team · Paris · Hybrid Data Labeling Lead Apply for this job About usSpore.Bio is a deeptech start-up born in 2023, building a new paradigm in the quality control systems in Food&Beverage, Cosmetics, and Pharmaceutics factories.After spending a lot of time in factories environments, we saw the pain it was to make sure products were safe. Traditional quality control has heavy constraints and long waiting times. To change that, we decided to build Spore.Bio, a new generation of microbiological testing.Our team is dedicated to bringing technology and developing a cutting-edge solution, based on advanced optical and deep-learning technologies, to detect bacterial contamination within seconds.Spore Bio is seeking a rigorous and driven Data Labelling Lead to scale and own the annotation engine at the heart of our AI pipeline. In this role, you will be the operational and strategic backbone of how we turn raw optical imaging data into high-quality training data for our microbiological detection models. You will bridge the gap between scientific domain knowledge and ML production requirements — designing the workflows, standards, and systems that determine the quality of every model we train and the reliability of what we deliver. Join our team of R&D experts, engineers, and data scientists, and play a foundational role in building the future of industrial microbiology.About the roleOur core mission is to develop AI-powered detection of microbiological entities on optical data. High-quality, reproducible annotations are the foundational input to every model we train. The Data Labelling Lead will own this function end-to-end: translating scientific needs into annotation strategies, ensuring process rigor, and building a scalable, well-governed workflow as the team grows. You will lead, operate, and continuously improve the annotation engine that powers our ML models.Key ResponsibilitiesProcess & StrategyDefine and maintain annotation guidelines and labelling schemas for optical/microbio datasetsOwn end-to-end annotation workflows: task scoping, assignment, QC checkpoints, delivery, and feedback loopsAnticipate bottlenecks and drive continuous...

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