Data Annotation Specialist - Computer Vision

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  Label construction drawings with bounding boxes, polygons, and segmentation masks that meet our accuracy bar

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  Apply guidelines consistently, so labels match from the first drawing to the last

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  Flag ambiguous and edge cases early, and turn them into sharper guidelines

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  Clean existing datasets: fix inconsistent labels, missing metadata, and duplicates

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  Hit weekly quality and throughput targets

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  Tell ML engineers what you see in the data, so they fix failures faster
  
  

• 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
  

• Prior image annotation work in Labelbox, CVAT, or Supervisely

• Basic computer vision concepts: object detection, segmentation

• You can read construction, CAD, or architectural drawings
  
  

• 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.
  
  
  

Cash for stability. Bonus for performance. Equity for ownership. Your package reflects your role, your experience, and what you deliver.