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OpenTrain AIFor AI Companies

Video Annotation Expert

Review robotics and human-activity videos, evaluate AI-generated annotations, and provide precise feedback as a remote contractor earning $15–$80 per hour.

OpenTrain AI

Image & Video Annotation

100% Remote Hourly · $15–$80/hr

$15–$80/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Aug 14, 2026

Posted

Open worldwide

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About OpenTrain

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.

  • Remote contractor opportunity
  • Expected project duration of 3 to 6 months
  • No prior AI experience required

About AI Training and Video Annotation

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.

The Role

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.

  • Employment type: Contractor
  • Work location: Remote
  • Compensation: $15–$80 per hour
  • Project focus: Robotics and human-activity video annotation
  • Expected duration: 3 to 6 months
  • English proficiency: Fluent English required

What You'll Do

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.

  • Review and analyze clips involving robots or people performing various actions.
  • Assess whether video content follows written instructions and directives.
  • Determine the accuracy and completeness of actions based on defined end states.
  • Compare video samples and identify which better fulfills a specified instruction.
  • Refine, correct, or enhance AI-generated video annotations.
  • Review action boundaries, descriptions, and feedback points for accuracy.
  • Identify subtle differences in movement, object interaction, and action sequences.
  • Document observations, decisions, and feedback in clear written English.
  • Follow detailed annotation guidelines and evaluation rubrics consistently.
  • Maintain a high standard of annotation accuracy and quality.

Requirements

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.

  • Video annotation experience or strong familiarity with video-based data review
  • Experience with video-labeling workflows
  • Experience with text-generation tasks
  • Robotics or human-activity domain knowledge
  • Excellent attention to detail
  • Strong analytical and observational abilities
  • Quality assurance and evaluation skills
  • Ability to follow detailed instructions and evaluation rubrics
  • Strong written communication skills
  • Ability to work independently in a remote environment
  • Fluent English proficiency

Who Should Apply

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.

  • Entry-level candidates with relevant domain knowledge are welcome.
  • Prior AI experience is not required.
  • Candidates should be comfortable reviewing short videos and making evidence-based evaluations.

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