Egocentric Video Data Reviewer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting contributors for remote projects that help shape how modern artificial intelligence systems learn from real-world data.

About AI Training Work

AI training is the human side of building artificial intelligence. Contributors review, annotate, and evaluate examples such as images and video so AI systems can better understand the world. This fast-growing field offers flexible remote opportunities and a way to work directly on cutting-edge technology.

The Role

OpenTrain AI is seeking an Egocentric Video Data Reviewer for a short-term project involving first-person video data. You will review short action segments and verify that their start and end boundaries accurately match the action being performed.

This is a structured quality-assurance role suited to someone who can maintain careful, consistent judgment across a high volume of brief video segments.

• Remote contractor position
• Approximately two-week project duration
• Compensation of $20–$25 per hour
• 40 hours per week stated for the project; the listed time requirement is 20+ hours per week
• Entry-level opportunity
• English-language work

What You'll Do

You will assess video action segments against provided annotation guidelines and correct or flag boundary issues. The work requires close visual attention and consistent decisions across related actions and moments.

• Review action segments identified within egocentric videos
• Determine whether segment start and end boundaries accurately correspond to the action performed
• Adjust incorrect boundaries according to project guidelines
• Flag boundaries that require correction or further review
• Distinguish between closely related actions and moments in video
• Maintain consistent judgment across a high volume of short segments
• Complete assigned videos within the project timeline

Requirements

You do not need prior video annotation experience to apply. The most important qualifications are careful visual comprehension, strong attention to detail, and the ability to learn and consistently follow detailed instructions.

• Excellent attention to detail and visual comprehension
• Ability to distinguish between closely related actions in video
• Comfort with structured, repetitive review work while maintaining accuracy
• Ability to quickly learn and consistently apply detailed annotation guidelines
• Strong written English communication skills

Helpful Background

Experience with video annotation, data labeling, computer vision datasets, or egocentric video is helpful but not required. This role may be a strong fit for detail-oriented contributors interested in entering AI training and visual data review.

• Video annotation experience
• Data-labeling experience
• Familiarity with computer vision datasets
• Experience reviewing or working with egocentric video

Why Join AI Training

AI training work lets people contribute to the development of modern AI from anywhere with a computer and internet connection. Projects like this one turn human visual judgment into reliable training data, helping models learn to interpret actions and events in video.

• Work remotely on a project supporting AI development
• Build experience in video review and data quality assurance
• Contribute to datasets used to improve computer vision systems
• Take part in a rapidly growing technology field