Lighting up microbiology. Unleashing factories from their constraints. Make an impact. Backed by Entrepreneur First.
About the role
Our 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 annotation guidelines and long-term labelling strategy are owned by our R&D team.
What they're looking for
- Strong project management capabilities, able to handle multiple concurrent workstreams
- Excellent communicator bridging scientific domain experts and ML engineers
- Systematic thinker with a continuous-improvement mindset
- Comfortable with ambiguity in early-stage, research-driven environments
More about this role
Spore.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...
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