
51 - 200 employees
Founded 2023
🏗️ Construction
☁️ SaaS
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $35M Series A on 2025-12
Construction • SaaS • Artificial Intelligence
Bobyard is AI takeoff and estimating software for construction trade contractors. It provides AI infrastructure trained on millions of drawings to automate quantity takeoffs and estimates for specific trades (landscaping, electrical, plumbing, mechanical, interior finishes, and paving), collapsing weeks of manual estimating into minutes while keeping estimators in the verification loop. Bobyard supports address-based aerial takeoffs for some trades, emphasizes trade-specific models for higher accuracy versus general tools, and is positioned as a B2B product to increase bid volume and accuracy without adding headcount.
🔥 30 minutes ago
🇺🇸 United States – Remote
💵 $20 - $35 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
⬇️ Data Entry
👻 Ghost score 0%
Where this job comes from
Posted on Bobyard's careers page, not through a job board
First seen by Remote Rocketship 30 minutes ago

51 - 200 employees
Founded 2023
🏗️ Construction
☁️ SaaS
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $35M Series A on 2025-12
Construction • SaaS • Artificial Intelligence
Bobyard is AI takeoff and estimating software for construction trade contractors. It provides AI infrastructure trained on millions of drawings to automate quantity takeoffs and estimates for specific trades (landscaping, electrical, plumbing, mechanical, interior finishes, and paving), collapsing weeks of manual estimating into minutes while keeping estimators in the verification loop. Bobyard supports address-based aerial takeoffs for some trades, emphasizes trade-specific models for higher accuracy versus general tools, and is positioned as a B2B product to increase bid volume and accuracy without adding headcount.
• Label construction drawings with bounding boxes, polygons, and segmentation masks to meet accuracy standards • Apply guidelines consistently across drawings • Flag ambiguous and edge cases and help improve guidelines • Clean existing datasets by fixing inconsistent labels, missing metadata, and duplicates • Meet weekly quality and throughput targets • Communicate data observations to ML engineers so they can fix model failures faster
• Ability to catch errors, inconsistencies, and missing information • Ability to follow written instructions precisely and use good judgment when guidelines are incomplete • Ability to perform focused, repetitive work for hours without losing accuracy • Ability to learn new tools quickly and work independently remotely • Clear written English for flagging issues and asking questions • Remote in the US • Availability during core Pacific Time hours • Prior image annotation work in Labelbox, CVAT, or Supervisely (nice to have) • Basic computer vision concepts, including object detection and segmentation (nice to have) • Ability to read construction, CAD, or architectural drawings (nice to have)
• Performance bonus • Equity • Path to full-time for strong performers • Remote work • Contract duration of 3–6 months, 40 hours a week
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