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

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

Job summary

Mercor is hiring an AI Data Generalist — Egocentric Video Review on a contract basis for roughly two weeks. The role is remote, and the work is conducted from India. You will review egocentric video data, annotate action boundaries with precision, and maintain consistency across many short segments according to detailed guidelines.

Start date Monday morning 17th August (PST). Candidates should demonstrate sharp attention to detail, strong written English, and the ability to learn and apply

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.
• 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 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

Action differentiation

Structured review

Quick learning

Written English

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.

Qualifications Preferred

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

Start Date

Monday morning 17th August (PST)