Data Scientist

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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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