Data Annotation Reviewer (QA) — Egocentric Video
Core
Reviewing and correcting machine-generated annotations for large-scale egocentric (first-person) video datasets to train AI models for robotics and computer vision.
Role type
Data Annotation Reviewer (QA)
Builds
High-quality training datasets for AI/robotics clients
Domain
Robotics / Computer Vision / AI
Deliverable
production ML models
Required skills
Data annotation review, video segmentation, hand-pose tracking validation, privacy compliance, guideline adherence, attention to detail
Preferred skills
Prior data annotation experience, familiarity with video labeling tools, exposure to computer vision concepts
Technologies
Video annotation platforms, egocentric video datasets
Responsibilities
Review language annotations for accuracy and consistency; verify action segmentation and timing; sanity-check machine-generated hand and motion tracking; flag privacy issues and content non-compliance
Seniority
Entry-level to Mid-level, individual contributor
