Data Labeling Operations Manager

Bobyard is building the AI that brings visual intelligence to construction. We're a Series A startup backed by 8VC, Primary, and Pear, and our models are trained on millions of construction drawings to help contractors estimate and bid faster. We're small, moving fast, and the work we ship directly changes whether a contractor wins or loses a bid.

Our models are only as good as the data behind them. You'll own the labeling operation end to end — the annotator team, the quality bar, the datasets themselves. This is a first-in-function hire: there's no playbook waiting for you, you'll build it. Success looks like a labeling operation that's fast, accurate, and trusted enough that ML engineers stop double-checking your team's work.

Build and run the annotator team — recruit, onboard, train, and hold the bar on quality and throughput

Own labeling quality — review annotations, catch systematic errors before they hit a model, and turn what you find into sharper guidelines

Clean up the datasets we already have — fix inconsistent labels, missing metadata, duplicates, and other issues quietly hurting model performance

Source new data — find and organize construction drawings that expand our coverage of formats, classes, and edge cases we're currently missing