AI Data Generalist – Egocentric Video Review

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Mercor

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🔥 Funding within the last year

💰 $350M Series C - Mercor on 2025-10

Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.

📋 Description

• Review egocentric (first-person) video data • Complete structured quality-review tasks according to project-specific guidelines • Review action-segment boundaries within egocentric videos • 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 • Participate in additional egocentric-data projects during the approximately two-week engagement • Learn and apply detailed annotation instructions at the start of each project

🎯 Requirements

• Excellent attention to detail and visual comprehension • Ability to distinguish carefully between closely related actions and moments in video • Comfort performing structured, repetitive review work while maintaining accuracy • Ability to quickly learn and consistently apply detailed annotation guidelines • Strong written English communication skills • Prior experience with video annotation, data labeling, computer vision datasets, or egocentric video is helpful but not required • Must be able to work as an independent contractor • H1-B and STEM OPT candidates are not supported

🏖️ Benefits

• Fully remote role • Can be completed on your own schedule • Weekly payments via Stripe or Wise based on services rendered • Competitive pay • Collaboration with leading researchers • Opportunity to help shape the next generation of AI systems • Up to $100 for each successful referral • No limit on the number of referrals