About the job
The Opportunity
Manufacturing powers the global economy at $50T a year and it relies heavily on human dexterity and skill to produce the goods we rely on every day. Yet manufacturers have little visibility when issues arise at manual assembly stations, impacting productivity and quality.
Assembler AI is changing that.
We use computer vision and artificial intelligence to help manufacturers improve quality, reduce waste, increase throughput, and enable frontline employees to perform at their best.
Backed by Diagram Ventures, we're building a category-defining company at the intersection of AI, manufacturing, and operational excellence.
The role
We're hiring our first Data Annotator. You'll work directly with the AI team on the labeled video that every one of our models is trained and verified on, and take ownership of labeling quality across our customers' stations.
This is a hands-on, detail-driven role. Our models are only as good as the judgment behind the labels: whether a step really started on that frame, whether a flagged event actually happened, whether a label scheme still fits a new station. If you're the person who notices the one clip out of four hundred that doesn't match the others, you'll do well here.
What you'll do
Requirements
Technical environment
Required:
Nice to have:
Why join
You'll be the first person dedicated to data quality, with direct ownership of the labels that decide whether a model works, and a very short path from your work to something running on a live production line. The role grows with the company: into annotation lead, QA, or model evaluation, depending on where you want to take it.
Compensation & Benefits
Computer Vision Annotator • Montréal, QC, Canada
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