Data Scientist
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Job DescriptionJob Description: Data Annotator – Video/Image Labeling (Computer Vision)
This role supports a Computer Vision-driven video analytics project by creating high-quality labeled datasets for model training. The annotator will work on video and image data, enabling accurate model development for video understanding and processing.
Key Skills (Must Have)
Hands-on experience in image/video annotation
Familiarity with annotation tools (CVAT, Labelbox, VGG, Supervisely, etc.)
Ability to label bounding boxes, polygons, segmentation masks, and object tracking
Strong attention to detail and data quality focus
Ability to follow structured annotation guidelines
Good to Have
Basic understanding of Computer Vision concepts (object detection, segmentation, tracking)
Experience with video annotation workflows (frame-by-frame labeling, interpolation)
Exposure to data QA/validation processes
Experience working in large-scale annotation projects
Roles & Responsibilities
Perform annotation of video and image datasets (bounding boxes, classification, tracking, segmentation)
Ensure high-quality, consistent labeling as per defined guidelines
Work with data science teams to refine annotation standards and improve accuracy
Conduct basic quality checks and corrections on labeled data
Handle frame-level video annotation and maintain temporal consistency
Support dataset preparation for multiple solution approaches
Flag ambiguities or edge cases to improve annotation guidelines
Experience Required
1–3 years of experience in data annotation / labeling
Experience in Computer Vision projects preferred
Education
Bachelor’s in any relevant Technical Domain
Mandatory/Required
Hands-on experience in image/video annotation
Familiarity with annotation tools (CVAT, Labelbox, VGG, Supervisely, etc.)
Ability to label bounding boxes, polygons, segmentation masks, and object tracking
Strong attention to detail and data quality focus
Ability to follow structured annotation guidelines
Good to have
Basic understanding of Computer Vision concepts (object detection, segmentation, tracking)
Experience with video annotation workflows (frame-by-frame labeling, interpolation)
Exposure to data QA/validation processes
Experience working in large-scale annotation projects
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