Data Annotation Reviewer (QA) — Egocentric Video
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At a glance
Job overview
Workstream is hiring a Data Annotation Reviewer (QA) — Egocentric Video. Workstream is seeking a Data Annotation Reviewer to ensure high-quality training data for an AI/robotics client. The role involves reviewing segments flagged as inaccurate, judging them against client guidelines, and correcting or rejecting them to deliver clean data. This precision quality-assurance work requires maintaining a high accuracy threshold, as low-scoring batches are rejected.
Key focus areas include Review language annotations for accuracy, clarity, and consistency in video descriptions and action labels, Verify action segmentation and timing to ensure correctly timed, non-overlapping segments, and Sanity-check machine-generated hand-pose tracking, flagging errors and implausible results.
Successful candidates bring English Comprehension, Attention To Detail, and Reliable High‑Speed Internet. Important skills include Language Annotations, Action Segmentation & Timing, Hand-Pose Tracking, Compliance, High Accuracy Target, and Alignment With Reviewers. Preferred (not required): Video Annotation Tools, Video Labeling Tools, Computer Vision Concepts, and Robotics Concepts.
Skills & qualifications
Skills
Qualifications
Full job description
Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
Grow With Us
We produce high-quality training data for a leading AI/robotics client building a large-scale egocentric (first-person) video dataset. Our pipeline auto-generates annotations at scale; your job is to review the segments flagged as potentially inaccurate , judge them against the client's guidelines, and correct or reject them so only clean data is delivered.
This is precision quality-assurance work under a strict standard — audited batches must pass at a high accuracy threshold, and low-scoring batches are rejected outright. Your judgment directly affects whether our deliveries get accepted.
Day In The Life You will review:
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Language annotations — check that written descriptions and action labels accurately, clearly, and consistently describe what's happening in each video, following detailed labeling guidelines.
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Action segmentation & timing — verify that videos are broken into correctly timed, non-overlapping action segments.
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Hand-pose tracking — sanity-check machine-generated hand and motion tracking, flagging errors and implausible results.
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Compliance — flag privacy issues (e.g. faces or personal information) and any content that doesn't meet collection quality or content standards. Quality standards
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Contribute to a high, continuously audited accuracy target — consistency matters as much as speed, since weak batches can be rejected as a whole.
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Maintain alignment with other reviewers on shared calibration sets.
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Meet the throughput target Who You Are
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At least one year experience as a Data Annotation Reviewer
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Excellent written and reading English comprehension — you must accurately apply detailed, nuanced guidelines. This is the single most important requirement.
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Sharp attention to detail and the stamina for focused, cognitively demanding review.
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Consistent, well-reasoned judgment on ambiguous, edge-case segments.
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Reliable high-speed internet and a device capable of smooth video playback.
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Comfort in a remote, target-driven environment with regular calibration checks. Nice to have
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Prior data annotation, labeling, QA, or content-review experience.
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Familiarity with video annotation / labeling tools.
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Exposure to computer vision, robotics, or hand/gesture tracking concepts. Know More About Workstream
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https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
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