Data Annotation Reviewer (QA) — Egocentric Video

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 Carls Jr./Hardees 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 clients 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.

You will review:

• Language annotations check that written descriptions and action labels accurately clearly and consistently describe whats happening in each video following detailed labeling guidelines.
• Action segmentation & timing verify that videos are broken into correctly timed non-overlapping action segments.
• Hand-pose tracking sanity-check machine-generated hand and motion tracking flagging errors and implausible results.
• Compliance flag privacy issues (e.g. faces or personal information) and any content that doesnt meet collection quality or content standards.

• Contribute to a high continuously audited accuracy target consistency matters as much as speed since weak batches can be rejected as a whole.
• Maintain alignment with other reviewers on shared calibration sets.
• Meet the throughput target

Who You Are

• At least one year experience as a Data Annotation Reviewer
• Excellent written and reading English comprehension you must accurately apply detailed nuanced guidelines. This is the single most important requirement.
• Sharp attention to detail and the stamina for focused cognitively demanding review.
• Consistent well-reasoned judgment on ambiguous edge-case segments.
• Reliable high-speed internet and a device capable of smooth video playback.
• Comfort in a remote target-driven environment with regular calibration checks.

Nice to have

• Prior data annotation labeling QA or content-review experience.
• Familiarity with video annotation / labeling tools.
• Exposure to computer vision robotics or hand/gesture tracking concepts.

Know More About Workstream

• 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.