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

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

The specialist will review egocentric video data to evaluate and adjust action segment boundaries for accuracy. They are responsible for maintaining consistent judgment across a high volume of short segments within a project timeline.

Candidates must have excellent attention to detail, strong visual comprehension, and the ability to follow detailed annotation guidelines. Experience with video annotation or computer vision datasets is preferred.

• Souci du détailSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Video Annotation
• Data Labeling
• Visual Comprehension
• Quality Review
• Attention To Detail
• Computer Vision
• Egocentric Video Analysis
• English Communication

• Data & Analytics
• Technology
• Software
• Science & Research
• Creative & Media

Expérience minimale

0+ ans

Postuler avant le

14 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Greater Montreal Metropolitan Area

Niveau d’expérience

Not Applicable