Robotics and Human Activity Video Annotation Expert
Review robot and human-activity videos, compare action sequences, and refine AI-generated annotations in a flexible remote contractor project paying $15-$80 per hour.
Posted Aug 14, 2026
Review robotics and human-activity videos, evaluate AI-generated annotations, and provide precise feedback as a remote contractor earning $15–$80 per hour.
Image & Video Annotation
$15–$80/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 14, 2026
Posted
Open worldwide
OpenTrain AI connects people with opportunities to help build better artificial intelligence. As the hiring and contracting organization for this role, OpenTrain supports contributors working on practical AI training and data-labeling projects across the industry.
AI training is the human work behind modern AI systems. Contributors review examples, assess model outputs, and provide structured feedback that helps AI understand visual content, actions, and interactions more accurately.
In video annotation work, careful observation is essential. Your evaluations can help improve systems that interpret robotics footage and videos of people performing everyday actions.
OpenTrain AI is seeking Video Annotation Experts for a project focused on robotics and human-activity video annotation and evaluation. You will review short video clips, assess actions and interactions, and help improve the quality of AI-generated video annotations.
This is an entry-level contractor opportunity for candidates with relevant domain knowledge and strong analytical skills. Prior AI experience is not required.
You will evaluate short videos against written instructions, defined end states, and project rubrics. You will also document decisions and provide clear feedback about the accuracy and completeness of video actions and annotations.
The strongest candidates can observe video content carefully, recognize differences in actions and interactions, and communicate precise decisions in writing. Relevant experience or knowledge matters more than previous work in AI.
This role may suit someone with experience in robotics, computer vision, video annotation, data labeling, quality assurance, or a related field. It is also appropriate for an analytical, detail-oriented candidate who can evaluate visual information carefully and provide consistent written feedback.
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