UST
Website:
ust.com
Job details:
Role Description
Key Responsibilities
- Annotate image and video data using bounding boxes for object detection use cases
- Review and grade model outputs (false positives / false negatives)
- Validate geo-positioning of detection zones within checkout lanes
- Support dataset preparation for model training and fine-tuning
- Ensure annotation quality across varying store conditions
- Collaborate with engineering teams on model performance feedback
- Follow annotation standards, SOPs, and quality controls
Required Qualifications
- 2-5 years experience in data annotation or computer vision support roles
- Strong attention to detail and pattern recognition
- Experience with tools such as CVAT, LabelImg, Roboflow, or Supervisely
- Basic working knowledge of Python (run scripts, data handling)
- Comfort working with large image and video datasets
Preferred Qualifications
- Exposure to object detection models (e.g., YOLO)
- Basic understanding of precision and recall
- Experience supporting ML or CV workflows
- Familiarity with retail environments
Jira, Confluence, Google Cloud, Slack Preferred Experience
What Success Looks Like
- Improved model accuracy and reduced false s in checkout lanes
- Consistent, high-quality annotation across datasets
- Faster model iteration and retraining cycles
- Clear feedback loop between annotation and engineering teams
Skills
data engineering,cvat,data annotation,python,
Click on Apply to know more.