Data Annotation Specialist – Computer Vision
Job Description:
- 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
Requirements:
- 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)
Benefits:
- 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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