About the Role
We are looking for detail-oriented Video Annotators to support a Vision-Language-Action (VLA) dataset project. In this role, you will watch short video clips of physical tasks/activities and produce event-level annotations by segmenting each video into meaningful steps and writing clear, exact natural-language instructions describing the action taking place in each segment.

Key Responsibilities
- Watch assigned videos in full before beginning annotation to understand the overall task and context.
- Segment each video into discrete, logical steps/events based on visible action boundaries.
- Write clear, concise, and grammatically correct step-by-step descriptions (instructions) for each segment, accurately reflecting what is happening on screen.
- Ensure annotations are action-oriented, unambiguous, and consistent in tense, tone, and phrasing across the dataset.
- Assign accurate start and end timestamps for each segment.
- Follow annotation guidelines, taxonomies, and style guides provided by the project team.
- Flag videos that are unclear, corrupted, mislabeled,



or otherwise unsuitable for annotation.
- Participate in calibration sessions and incorporate reviewer/QA feedback to improve annotation quality and consistency.
- Meet daily/weekly productivity and quality targets without compromising accuracy.
- Maintain confidentiality of all project data and materials.

Required Qualifications
- English Proficiency: C1 level (CEFR) or above — required. Strong command of grammar, vocabulary, and sentence construction is essential, as output quality directly depends on writing clarity.
- Excellent attention to detail and ability to spot subtle changes in visual scenes.
- Solid written communication skills; ability to describe actions concisely and precisely.
- Comfort working with video-based tools and annotation software (training provided).
- Ability to work independently, follow detailed guidelines, and maintain consistency over repetitive tasks.
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📌 Video Annotator (India)
🏢 CNTXT AI
📍 India