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

Visa Hunt; India; Remote; INR 2,634,000 - 3,293,000; Part time

Job summary

Mercor is seeking an AI Data Generalist to review egocentric video data and perform structured quality-review tasks. You will evaluate action segments and annotate boundaries with high attention to accuracy, completing tasks quickly and consistently.

Ideal candidates have strong written English and ability to apply detailed guidelines. Remote work is offered with a short project duration of about two weeks.

Qualifications

• Excellent attention to detail and visual comprehension.
• Ability to distinguish closely related actions and moments in video.
• Strong written English communication skills.
• Quick learning and consistent application of annotation guidelines.
• Experience with video annotation or egocentric video is a plus.

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

Video interpretation

English writing

Quick learning

Consistency

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

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.

Start Date

• Monday morning 17th August (PST)