Egocentric Video Analyst - Fully Remote - Upto $25/hr

mercor; San Francisco (CA); Remote; AUD 38,000 - 48,000; Part time

Job summary

Mercor is seeking an AI Data Generalist to review egocentric video data and perform structured quality-review tasks. This remote contract role focuses on accurate boundary detection and consistent judgments across many short action segments.

Applicants should demonstrate excellent attention to detail, strong English writing, and the ability to quickly learn annotation guidelines. The project runs for about two weeks with a flexible start near August.

Qualifications

• Excellent attention to detail and visual comprehension.
• Ability to distinguish closely related actions and moments in video.
• Comfortable with structured, repetitive review work while maintaining accuracy.
• Quick learning and consistent application of detailed annotation guidelines.
• Strong written English communication skills.

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 according to 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

Action recognition

Structured annotation

Fast learning

English writing

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 Details

Position: AI Data Generalist - Egocentric Video Review

Type: Contract

Compensation: $20-$25/hour

Location: Remote

Duration: Approximately 2 weeks

Start Date: Monday morning 17th August (PST)

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 according to 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.
• Comfortable 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.