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Video Annotator
Innodata Inc.Bangalore, IN27 days ago
Job descriptionProficient in frame-by-frame labeling and interpolation. Maintains temporal consistency in skeletons and bounding boxes. Detects and fixes annotation drift in long sequences. Balances speed and accuracy in complex datasets. Excellent attention to detail and spatial awareness. Strong understanding of body posture and motion. Effective in resolving ambiguous or unclear frames. Ensures consistent application of labeling rules. Familiar with IoU (bounding boxes) and PCK (keypoints) metrics. Reviews and corrects annotations before submission. Understands how data quality affects AI / ML model performance. Knowledge of basic anatomy (human / animal). Experience with pose estimation datasets (COCO, MPII, etc.). Worked on sports, gesture, or action-tracking projects. Familiarity with platforms like V7 Darwin.
Skeleton Keypoints & Bounding Box Video Annotation (Immediate joiners only)
Core Annotation Skills
- Accurate placement of skeleton keypoints (COCO or custom schema).
- Consistent joint alignment across frames, even with motion blur or occlusion.
- Precise and smooth bounding boxes across all frames.
- Skilled in handling scale, perspective, and partially visible subjects.
Video Annotation Expertise
Cognitive & Analytical Abilities
Quality Awareness
Preferred Background (Optional)
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Video • Bangalore, IN
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