Data Annotation Specialist
Key Skills for This Role
Full Job Posting
Responsibilities
- Annotate and label time-series, image, video, and text data according to project guidelines, using tools such as CVAT or Label Studio.
- Track progress across concurrent projects, identify issues, and suggest process improvements.
- Check annotation quality and accuracy through QC and validation against established standards.
- Organize and clean labelled data to help prepare annotated datasets for model training.
- Collaborate with subject-matter experts, data scientists, ML engineers, and project managers; maintain documentation.
Qualifications
- High-school diploma, bachelor's degree in a relevant field, or equivalent professional experience.
- 2–5 years of relevant experience.
- Good understanding of bounding boxes, polygons, segmentation, and keypoints.
- Hands-on experience with platforms such as Label Studio, CVAT, Labelbox, or Supervisely.
- Strong attention to detail and basic Excel/reporting skills; Python familiarity is a plus.
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