Data Annotation Reviewer (QA) — Egocentric Video
About the role
Review auto-generated annotations on egocentric (first-person) video for an AI/robotics training-data pipeline: judge flagged segments against client guidelines and correct or reject them so only clean data is delivered.
What you'll do
- Review language annotations so written descriptions and action labels accurately describe each video per labeling guidelines.
- Verify action segmentation and timing so videos are broken into correctly timed, non-overlapping action segments.
- Sanity-check machine-generated hand-pose and motion tracking, flagging errors and implausible results.
- Flag privacy issues (faces or personal information) and content that fails collection quality standards.
- Maintain alignment with other reviewers on shared calibration sets and meet the throughput target.
Requirements
- At least one year experience as a Data Annotation Reviewer.
- Excellent written and reading English comprehension to apply detailed, nuanced guidelines.
- Sharp attention to detail and stamina for focused, cognitively demanding review.
- Reliable high-speed internet and a device capable of smooth video playback.
- Comfort in a remote, target-driven environment with regular calibration checks.
About Workstream
Workstream builds HR, payroll, and hiring software for hourly workforces and also operates a robotics data team that produces egocentric video datasets for AI clients.
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