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Video Annotator – Vision-Language-Action Dataset

The Global Talent Co.
localisationMorocco
Décryptage du poste par Postule AI

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 activities, then produce event-level annotations by segmenting each video into meaningful steps and writing clear, precise natural-language instructions describing the actions in each segment.

Key Responsibilities

  • Watch assigned videos in full before annotation to understand overall task and context
  • Segment each video into discrete, logical steps based on visible action boundaries
  • Write clear, concise, grammatically correct step-by-step descriptions for each segment
  • Ensure annotations are action-oriented, unambiguous, and consistent in tense and tone
  • 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 unsuitable for annotation
  • Participate in calibration sessions and incorporate QA feedback to improve quality
  • Meet daily and weekly productivity and quality targets
  • Maintain confidentiality of all project data and materials

Required Qualifications

  • English Proficiency: C1 level (CEFR) or above with strong grammar, vocabulary, and sentence construction
  • Excellent attention to detail and ability to spot subtle changes in visual scenes
  • Strong 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
  • Reliable internet connection and access to a computer with a modern browser
  • Basic computer literacy (file handling, web-based tools, spreadsheets)

Preferred Qualifications

  • Prior experience in data annotation, labeling, transcription, or content moderation
  • Familiarity with AI/ML concepts, especially computer vision, NLP, or robotics datasets
  • Experience writing instructional or procedural content (how-to guides, SOPs, recipes)
  • Exposure to annotation platforms (e.g., CVAT, Label Studio, Scale, or similar tools)

Cette description d'emploi a pu être reformatée par Postule pour améliorer sa lisibilité et sa présentation. Le contenu et les informations restent fidèles à l'offre d'emploi originale. .