Job Summary

To play a pivotal role in designing and implementing complex technical solutions, ensuring they align with business objectives and industry best practices.

5 + years of experience in Video Annotation and data labeling.
Strong expertise in Computer Vision and Video AI, including semantic segmentation and temporal modeling
Ability to understand annotation schemas and class definitions
Basic computer proficiency (video playback, frame navigation, labeling tools)
Familiarity with:Bounding boxes, polygons, masks
Temporal annotations (start/end timestamps)
Strong handson expereince in industry-standard annotation tools (e.g., CVAT, Labelbox, VGG, Supervisely, custom tools).
Basic understanding of AI/ML concepts is  mandatory
Understanding of quality metrics such as:Precision / Recall
Inter-annotator agreement
Experience working with large datasets

Key Responsibilities

1. To design and architect large-scale solutions, ensuring scalability, performance, and security.
2. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated.
3. To continuously upskill with cutting-edge tech to deliver high-quality, future-proof solutions meeting client expectations and industry standards.
4. To leverage domain/tech expertise to gather client needs, deliver solutions, and craft a technology strategy aligned with business goals.

Skill Requirements

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Other Requirements

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