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

Mercor; San Francisco (CA); Hybrid; GBP 21,000 - 26,000; Full time

Job summary

Mercor is seeking an AI Data Generalist — Egocentric Video Review for a remote, contract engagement of about two weeks. You will review egocentric video data, annotate boundaries, and ensure consistency across a high volume of short action segments.

Starting Monday morning 17th August (PST), compensation $20–$25 per hour, with emphasis on attention to detail and clear English communication. This role requires quick learning and strict adherence to annotation guidelines.

Qualifications

• 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.
• Strong written English communication skills.
• Preferred: experience with video annotation, data labeling, computer vision datasets, or egocentric video.

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.

Skills

Attention to detail

Visual comprehension

English communication

Fast learning

Video annotation

Tools

Video annotation tools

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 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)