Vision-Language-Action Annotator

Overview

Remote full-time contract opportunity for detail-oriented VLA Annotators to help create high-quality training data for Vision-Language-Action and robotics models. The work focuses on reviewing real-world video, segmenting actions accurately, and validating or improving AI-generated annotations so the final data meets project-specific quality standards.

What You'll Do

• Review videos of people performing real-world activities and understand the overall task being performed.
• Split footage into logical action segments with accurate start and end times.
• Make sure meaningful actions are captured without gaps or overlaps.
• Review AI/VLA-generated captions and select, edit, or replace them when needed.
• Write clear, concise action descriptions based only on what is visibly happening in the video.
• Describe relevant hands, objects, tools, movements, and locations when required.
• Keep terminology consistent across annotations.
• Identify invalid, idle, distracted, failed, recovery, or unusual portions of a video according to project guidelines.
• Review completed work for segmentation, caption accuracy, grammar, consistency, and completeness before submission.
• Follow project guidelines, adapt to changes quickly, and flag ambiguous examples or recurring errors to the Operations/Quality team.
• Use annotation shortcuts and AI-assisted tools efficiently while maintaining quality and productivity targets.
• Participate in calibration, training, and feedback sessions as needed.

Requirements

• Strong attention to detail.
• Ability to understand and apply detailed written guidelines consistently.
• Good written English and the ability to describe actions clearly using simple, precise language.
• Strong observational skills and the ability to distinguish small differences in actions, objects, and timing.
• Comfort reviewing video content for extended periods.
• Ability to do repetitive annotation work while maintaining accuracy and consistency.
• Basic computer proficiency and the ability to learn new annotation platforms quickly.
• Ability to work independently and meet defined quality and productivity targets.
• Reliable computer and internet connection.
• Willingness to accept feedback and incorporate guideline changes quickly.

Nice to Have

• Previous experience in data annotation, video annotation, quality assurance, robotics data, computer vision, or AI training data.
• Experience with temporal segmentation or action recognition tasks.
• Familiarity with AI-assisted labeling tools or reviewing model-generated outputs.
• Experience with egocentric or first-person video data.
• Basic familiarity with robotics, manufacturing, household tasks, or other physical-world activities.

Project Scope

• Projects may include household, workplace, industrial, manipulation, navigation, and other real-world activities.
• The role centers on creating accurate, consistent training data for robotics and Vision-Language-Action systems.