[Hiring] Data Annotation Reviewer (QA) — Egocentric Video @Workstream

Role Description

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

• Review language annotations — check that written descriptions and action labels accurately, clearly, and consistently describe what's happening in each video, following detailed labeling guidelines.
• Verify action segmentation & timing — ensure that videos are broken into correctly timed, non-overlapping action segments.
• Sanity-check hand-pose tracking — flag errors and implausible results in machine-generated hand and motion tracking.
• Flag compliance issues — identify privacy issues (e.g. faces or personal information) and any content that doesn't 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.

Qualifications

• 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.

Requirements

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

Company Description

Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. 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.