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
AI interview based on your resume
Submit form
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
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Numbers & Facts
Location
New York, New York (Remote)
Salary
$20–$25 Per Hour
Skills
Artificial Intelligence (AI)unmatched
Benchmarkingunmatched
Communication Skillsunmatched
Computer Visionunmatched
Data Setsunmatched
Detail Orientedunmatched
English Languageunmatched
Research Laboratoryunmatched
Time Managementunmatched
Training Data Setsunmatched
Writing Skillsunmatched
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