Video Annotation Specialist - Fully Remote | Upto $25/hr

mercor - Australia - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
AI-Data-Generalist, Video-Annotation-Specialist, Data-Labeling, AI-Training-Data, Quality-Assurance, Media-Annotation-Specialist, Video-Annotator, AI-Annotation-Specialist
Source
himalayas
First observed
2026-08-20 15:33 UTC
Last seen
2026-08-20 15:33 UTC
Source claims posted
2026-08-20 15:25 UTC
Consecutive misses
0 of 10

What the posting says

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 following provided 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.

Comfort 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)

Application Process (Takes 20–30 mins to complete)

Upload resume

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Resources & Support

For details about the interview process and platform information, please check:

For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #215739 2026-08-20 15:33 UTC
    Published