Data Annotation Specialist - Computer Vision

About Bobyard
Construction is a multi-trillion-dollar industry that still estimates by hand. Contractors measure and count materials off drawings manually, and it caps how many jobs they can bid. Bobyard uses computer vision and NLP to automate takeoffs and estimates, so contractors bid faster and win more. We raised a $35M Series A led by 8VC, with Primary and Pear, and we’re growing fast.
About The Role
You’ll label the construction drawings our computer vision models learn from, and work directly with the ML engineers who use your data. We’re adding new trades, so our models need more labeled drawings than ever. The work is repetitive and exacting, and the guidelines won’t cover every case. Success is labels so consistent that engineers use them without a second look.
What You’ll Do
Label construction drawings with bounding boxes, polygons, and segmentation masks that meet our accuracy barApply guidelines consistently, so labels match from the first drawing to the lastFlag ambiguous and edge cases early, and turn them into sharper guidelinesClean existing datasets: fix inconsistent labels, missing metadata, and duplicatesHit weekly quality and throughput targetsTell ML engineers what you see in the data, so they fix failures faster
What We’re Looking For
You catch what’s wrong, inconsistent, or missing before anyone points it outYou follow written instructions precisely, and use good judgment when they run outYou can do focused, repetitive work for hours without your accuracy slippingYou learn new tools fast and work well on your own, remotelyClear written English for flagging issues and asking questions
Nice to have
Prior image annotation work in Labelbox, CVAT, or SuperviselyBasic computer vision concepts: object detection, segmentationYou can read construction, CAD, or architectural drawings
A note on pace
We move fast, and priorities shift as we learn from customers. Playbooks, context, and requirements are often incomplete when work starts, and you’ll be expected to shape them. If that pace excites you, you’ll fit in well.
What We Offer
Cash for stability. Bonus for performance. Equity for ownership. Your package reflects your role, your experience, and what you deliver, and it grows as you do. 20–35/hour + performance bonusA path to full-time for strong performersContract, 3–6 months, 40 hours a week. Remote in the US, available during core Pacific Time hours.
Come build with us!

Skills
Computer Vision

Work arrangement
Yes