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

mercor; India; Remote; INR 2,670,000 - 3,337,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. We are seeking an AI Data Generalist to review egocentric video data, determine precise start and end boundaries, and flag inconsistencies.

This remote contract role requires meticulous attention to detail and strong English writing to ensure high-quality annotations. Responsibilities include reviewing short action segments, maintaining consistency across large volumes, and completing tasks within project

Qualifications

• Excellent attention to detail and visual comprehension.
• Ability to distinguish closely related actions and moments in video.
• 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 segmentation

Consistency under pressure

Fast learner

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: 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 according to guidelines.
• Maintain consistent judgment across a high volume of short action segments.
• Complete assigned videos within the project timeline.

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.

Preferred

• Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

Monday morning 17th August (PST)

Resources & Support

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Originally posted on Himalayas