Review first-person household-task videos and create precise frame-level labels for AI training. This remote contractor role offers $10-$12 per hour and requires 20+ hours weekly.
Image & Video Annotation
100% Remote Hourly · $10–$12/hr
$10–$12/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jul 16, 2026
Posted
Open worldwide
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About AI Training and Video Labeling
AI training is the human work behind modern artificial intelligence. People review and organize examples so AI systems can learn to recognize actions, objects, and patterns more accurately.
In this project, you will work with short first-person household-task videos. Your careful labels and written feedback will help structure visual examples for AI training.
Remote work that can be completed from anywhere worldwide
Part-time contractor opportunity with a flexible workload
Entry-level role with no prior AI-training experience required unless otherwise stated
Direct contribution to how AI systems understand visual activities
The Role
OpenTrain is seeking a Video Content Data Labeling Associate to support household-task video labeling. You will review short first-person videos and apply detailed, consistent annotations to specific actions and object placements.
This role is suited to someone with strong visual discrimination, careful attention to detail, and the ability to stay focused during repetitive labeling work. The position pays $10-$12 per hour and requires 20 or more hours per week.
Employment type: Part-time contractor
Experience level: Entry level
Pay: $10-$12 per hour
Time requirement: 20+ hours per week
Language: English
Work location: Worldwide and remote
What You'll Do
You will inspect each video segment and record precise labels according to the project guidelines. Accuracy and consistency are essential, especially when identifying subtle changes between frames.
Review and annotate short first-person videos depicting household tasks.
Mark whether the hamper is to the left or right of the person in each video segment.
Identify the exact start and end frames for every pick-and-place movement.
Record which of seven numbered piles each clothing item is placed into.
Use playback controls, frame stepping, and timestamp-based web interfaces.
Follow detailed annotation guidelines consistently across videos.
Flag ambiguous, unclear, or unusual cases for review.
Requirements
The most important qualification is strong real-world knowledge of the subject area combined with careful, consistent execution. Prior AI-training experience is not required for this role.
Strong visual discrimination for subtle frame-level changes
Ability to follow detailed instructions precisely
Comfort using web-based video tools, playback controls, frame stepping, and timestamp interfaces
Strong focus for repetitive, detail-oriented labeling work
Fluency in English and clear written communication
Reliability and ability to work independently on remote contractor tasks
Helpful Experience
Previous experience with structured review work can be useful, although it is not required. Candidates who have worked with visual content or quality-focused tasks may find the annotation workflow especially familiar.
Video annotation experience
Data labeling experience
Transcription experience
Content moderation experience
Quality assurance experience
Why Build an AI Training Career With OpenTrain
AI training and data labeling are among the fastest-growing ways to work in tech. Contributors help prepare the examples and evaluations that shape how state-of-the-art AI systems behave, often through flexible remote projects that fit around other commitments.
OpenTrain gives freelancers one place to build a durable record of AI-training work. As you complete projects, your profile can help showcase relevant experience, reveal opportunities that match your skills, and support long-term growth in the field.
Work remotely with a computer or phone and an internet connection
Choose flexible part-time work that can fit around your schedule
Build experience in a rapidly growing AI industry
Create a stronger profile and portfolio for future AI-training opportunities
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