Egocentric Video Analyst - Fully Remote | Upto $25/Hr

Mercor

Sydney

Remote

AUD 40,000 - 51,000

Full time

2 days ago
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Job summary

Mercor is seeking an AI Data Generalist to review egocentric video data and perform structured quality-review tasks. This contract role is remote and pays $20–$25 per hour, with an expected duration of approximately two weeks. Start date is Monday morning, August 17 (PST).

The role requires keen attention to detail, strong written English, and the ability to learn quickly while applying annotation guidelines consistently across many short action segments.

Qualifications

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfortable with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries according to guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Skills

Attention to detail
Visual comprehension
Strong written English
Fast learner
Annotation consistency

Tools

Video annotation
Egocentric video datasets

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position

AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities
  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries according to guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.
Qualifications
Must-Have
  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfortable with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.
Preferred
  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.
Start Date
  • Monday morning 17th August (PST)
Resources & Support
  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

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