drjobs Bounding Box Video Annotators

Bounding Box Video Annotators

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1 Vacancy
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Job Location drjobs

Delhi - India

Monthly Salary drjobs

INR 300000 - 420000

Vacancy

1 Vacancy

Job Description

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

Employment Type

CONTRACT-BASED

Company Industry

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