Bounding Box Video Annotators

Delhi - India

Monthly Salary: INR 300000 - 420000

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Industry & Sector: AI training-data and computer vision data-labeling services supporting machine learning and perception model development across autonomous systems robotics retail analytics and surveillance. We deliver high-quality annotated video datasets that power object detection tracking and behavior-analysis pipelines.

Standardized Title (best-performing): Video Annotation Specialist (Bounding Box Video)

Location: Remote (India)

Role & Responsibilities

Create precise frame-by-frame bounding-box annotations and maintain consistent object IDs across video sequences using industry annotation platforms.
Apply detailed labeling guidelines to tag objects and attributes (e.g. occlusion truncation pose class) across diverse scenes and lighting conditions.
Perform self-review and address QA feedback correct annotation errors and escalate ambiguous cases to leads for resolution.
Export and validate annotation deliverables in required formats (COCO YOLO KITTI JSON) and ensure file integrity and consistent metadata.
Log edge cases and propose guideline clarifications to improve annotation consistency and reduce rework.
Meet throughput and accuracy KPIs for daily/weekly annotation targets while upholding quality standards.

Skills & Qualifications

Must-Have

Bounding box annotation
Object tracking
CVAT
COCO format

Preferred

Labelbox
YOLO format

Benefits & Culture Highlights

Fully remote India-based role with flexible working hours to accommodate throughput targets.
Structured QA feedback loops role-specific training and opportunities to upskill in annotation tooling and computer-vision workflows.
Collaborative metrics-driven environment focused on data quality and scalable ML operations.

Interested candidates should be comfortable working remotely have strong attention to visual detail and be ready to deliver consistent high-quality labeled video assets for production ML pipelines.

Required Skills:

trainingpipelinesthroughputannotationdataobject trackingboxvideo

Industry & Sector: AI training-data and computer vision data-labeling services supporting machine learning and perception model development across autonomous systems robotics retail analytics and surveillance. We deliver high-quality annotated video datasets that power object detection tracking and ...