Video Annotator (Remote)

About the role

We are seeking detail‑oriented Video Annotators to support a Vision‑Language‑Action (VLA) dataset project. Working remotely, you will watch short video clips of physical tasks and create step‑by‑step, natural‑language annotations that describe each action.

Key responsibilities

• Watch each assigned 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 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, or mislabeled.
• Participate in calibration sessions and incorporate reviewer feedback.
• Meet daily/weekly productivity and quality targets while maintaining data confidentiality.

Required profile

• English proficiency at C1 level (CEFR) or higher.
• Excellent attention to detail and ability to notice subtle visual changes.
• Strong written communication skills for precise, action‑oriented descriptions.
• Ability to work independently and follow detailed guidelines.
• Reliable internet connection and a computer with a modern web browser.

Required skills

• Experience with video annotation tools (e.g., CVAT, Label Studio, Scale).
• Basic computer literacy (file handling, web‑based tools, spreadsheets).