Video Annotator (Remote)

About the role

We are seeking detail‑oriented Video Annotators to support a Vision‑Language‑Action (VLA) dataset project. You will watch short video clips of physical tasks and create step‑by‑step annotations that clearly describe each action for AI training.

Key responsibilities

• Watch each video in full to understand the overall task before annotating.
• Segment videos into discrete, logical steps based on visible action boundaries.
• Write clear, concise, grammatically correct step‑by‑step instructions for each segment.
• Assign accurate start and end timestamps for every segment.
• Follow provided annotation guidelines, taxonomies, and style guides.
• Flag videos that are unclear, corrupted, mislabeled, or otherwise unsuitable.
• Participate in calibration sessions and incorporate reviewer feedback.
• Meet daily and weekly productivity and quality targets while maintaining data confidentiality.

Required profile

• English proficiency at C1 level (CEFR) with strong grammar and vocabulary.
• Excellent attention to detail and ability to notice subtle visual changes.
• Strong written communication skills for precise action descriptions.
• Ability to work independently, follow detailed guidelines, and maintain consistency.
• Reliable internet connection and a computer with a modern web browser.
• Basic computer literacy (file handling, web‑based tools, spreadsheets).

Required skills

• Familiarity with video annotation platforms such as CVAT, Label Studio, or Scale.
• Comfort using video‑based annotation tools (training will be provided).
• Ability to work with a modern web browser for annotation tasks.