Video Annotator - Morocco

Vision-Language-Action (VLA) Data Project 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, precise 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. • 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 over repetitive tasks. • 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 (e.g., how-to guides, SOPs, recipes). • Exposure to annotation platforms (e.g., CVAT, Label Studio, Scale, or similar tools). What We're Looking For • A sharp eye for detail and a passion for precision in written language. • Someone who can watch an activity and translate it into clear, step-by-step written instructions a person (or a machine) could follow. • A self-starter who is comfortable with repetitive, focused work and iterative feedback. Evaluation / Selection Process • English proficiency assessment (C1 level verification) • Annotation skills test (sample video segmentation + step-writing task) • Interview / calibration round • Onboarding and guideline training Compensation & Benefits $1 per accepted hours (Monday-Friday 9 hours a day)