Data Scientist
Fractal Analytics · Gurgaon, Haryana, India
Business Consulting and Services · 5,001-10,000 employees
About the role
The role involves performing high-quality annotation of video and image datasets, including bounding boxes, classification, and segmentation. You will work closely with data science teams to refine annotation standards and ensure temporal consistency in video labeling.
What they look for
Requirements
Candidates must have 1–3 years of experience in data annotation and familiarity with tools like CVAT, Labelbox, or VGG. A bachelor's degree in a technical domain is required, along with strong attention to detail and an understanding of computer vision concepts.
Full description
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Job Description
Job 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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