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
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