Data Scientist

Role Overview

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.

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

Requirements

• 1–3 years of experience in data annotation / labeling
• Experience in Computer Vision projects preferred
• Bachelor’s in any relevant Technical Domain
• Strong attention to detail and data quality focus
• Ability to follow structured annotation guidelines

Nice 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

Skills

• CVAT
• Labelbox
• Computer Vision
• Image Annotation
• Video Annotation