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 bar
Apply guidelines consistently, so labels match from the first drawing to the last
Flag ambiguous and edge cases early, and turn them into sharper guidelines
Clean existing datasets: fix inconsistent labels, missing metadata, and duplicates
Hit weekly quality and throughput targets
Tell 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 out
You follow written instructions precisely, and use good judgment when they run out
You can do focused, repetitive work for hours without your accuracy slipping
You learn new tools fast and work well on your own, remotely
Clear written English for flagging issues and asking questions
Nice to have
Prior image annotation work in Labelbox, CVAT, or Supervisely
Basic computer vision concepts: object detection, segmentation
You 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 bonus
A path to full-time for strong performers
Contract, 3–6 months, 40 hours a week. Remote in the US, available during core Pacific Time hours.
Comp Philosophy
Cash for stability. Bonus for performance. Equity for ownership. Your package reflects your role, your experience, and what you deliver.
Skills Required
- Ability to identify inconsistencies, errors, and missing information
- Ability to follow written instructions precisely and exercise judgment in ambiguous cases
- Ability to perform focused, repetitive work while maintaining accuracy
- Ability to learn new tools quickly and work independently remotely
- Clear written English communication
- Prior image annotation experience with Labelbox, CVAT, or Supervisely
- Basic computer vision knowledge, including object detection and segmentation
- Ability to read construction, CAD, or architectural drawings
Bobyard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bobyard and has not been reviewed or approved by Bobyard.
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Healthcare Strength — Benefits are described to include health, dental, and vision insurance, indicating a solid core medical offering.
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Retirement Support — A 401(k) is advertised, suggesting foundational retirement benefits are in place.
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Career-Linked Recognition & Rewards — Bonuses are tied directly to exceptional performance across roles, signaling rewards linked to impact.
Bobyard Insights
What We Do
Construction is one of the largest industries in the world, but it is also one of the least technologically innovative spaces. Conducting fast and accurate cost estimates is a massive pain point. Bobyard automates the construction takeoff process with CV and NLP models to make cost estimates 10x faster while eliminating mistakes.
