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Video Annotator - United Arab Emirates

CNTXT AI
Remote, UAE
Full-time
Entry
Remote
$1
Discovered 3 weeks ago
Video annotationVision-Language-Action datasetsEnglish C1 proficiencyEvent segmentationNatural-language instruction writingTimestamp annotation
Free

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Video annotationVision-Language-Action datasetsEnglish C1 proficiency
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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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