MercorPosted 13 Aug 2026

AI Data Generalist — Egocentric Video Review

Pay

$20–25/hr

Work

Remote · Contract · 40 hrs/wk

Eligibility

No stated location restriction

Field

Data & machine learning

Skills

Egocentric VideoVideo AnnotationData LabelingComputer Vision DatasetsVideo Quality ReviewAnnotation Guidelines

About this role

About the Role

We are looking for 5 detail-oriented generalists to support a series of short-term projects involving egocentric (first-person) video data. The engagement will run for approximately 2 weeks, covering 3 projects, with each individual project expected to last between 3 days and 1 week. The first project is expected to begin Monday morning 17th August (PST).

What You’ll Do

You will review egocentric video data and complete structured quality-review tasks according to project-specific guidelines. The work requires strong attention to detail, consistency, and the ability to make precise judgments about actions occurring in first-person video.

Project 1: Action Segment Boundary Review

For the first project, you will review the boundaries of action segments within egocentric videos.

Dataset

  • 50 egocentric videos
  • Approximately 1–2 minutes per video
  • Approximately 38 action segments per video on average
  • Estimated review time: ~30 minutes per video

Responsibilities

  • Review action segments identified within each video
  • Determine whether segment start and end boundaries accurately correspond to the action being performed
  • Adjust or flag incorrect boundaries according to provided guidelines
  • Maintain consistent judgment across a high volume of short action segments
  • Complete assigned videos within the project timeline

Additional egocentric-data projects will follow during the 2-week engagement. Detailed instructions will be provided at the start of each project.

Who We’re Looking For

You may be a strong fit if you:

  • Have excellent attention to detail and visual comprehension
  • Can carefully distinguish between closely related actions and moments in video
  • Are comfortable performing structured, repetitive review work while maintaining accuracy
  • Can quickly learn and consistently apply detailed annotation guidelines
  • Have strong written English communication skills

Prior experience with video annotation, data labeling, computer vision datasets, or egocentric video is helpful but not required.

Engagement Details

  • Openings: 5
  • Duration: Approximately 2 weeks
  • Projects: 3 short-term projects
  • Individual project duration: Approximately 3 days to 1 week
  • First project start: Monday morning PST

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