Video Annotator - United Arab Emirates
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Key skills for this role
Role Overview
Support a Vision-Language-Action dataset project by annotating short videos of physical tasks and activities.
Produce event-level annotations by segmenting videos and writing natural-language instructions for each segment.
Key Skills for This Role
Full Job Posting
About the Role
Support a Vision-Language-Action dataset project by annotating short videos of physical tasks and activities.
Produce event-level annotations by segmenting videos and writing natural-language instructions for each segment.
Location
- The role is remote.
Key Responsibilities
- Watch each assigned video in full before annotation to understand the task and context.
- Segment videos into discrete logical steps based on visible action boundaries.
- Write concise, grammatically correct, action-oriented descriptions for each segment.
- Assign accurate start and end timestamps and follow project taxonomies and style guides.
- Flag unclear, corrupted, mislabeled, or unsuitable videos.
- Participate in calibration sessions and apply reviewer or QA feedback.
- Meet productivity and quality targets while maintaining accuracy and confidentiality.
Required Qualifications
- C1 English proficiency or above is required, including strong grammar, vocabulary, and sentence construction.
- Excellent attention to detail and ability to notice subtle changes in visual scenes.
- Strong written communication and ability to describe actions precisely.
- Comfort with video tools and annotation software; training is provided.
- Ability to work independently, follow detailed guidelines, and remain consistent during repetitive tasks.
- Reliable internet connection, a computer with a modern browser, and basic computer literacy are required.
Preferred Qualifications
- Prior experience in data annotation, labeling, transcription, or content moderation.
- Familiarity with AI/ML concepts, including computer vision, NLP, or robotics datasets.
- Experience writing instructional or procedural content.
- Exposure to CVAT, Label Studio, Scale, or similar annotation platforms.
Evaluation and Selection
- The process includes an English proficiency assessment, an annotation skills test, an interview or calibration round, and onboarding training.
- The stated schedule is Monday through Friday, nine hours per day.
Compensation
- Compensation is stated as $1 per accepted hour.
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