#49426 Video Annotation & Data Labeling Project

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a #49426 Video Annotation & Data Labeling Project based in United Kingdom. Join a long-term AI data project focused on transforming video content into high-quality training data for advanced AI systems. You will work on video captioning, timeline segmentation, action labeling, and AI-generated content verification. The role requires exceptional attention to detail and the ability to describe only what can be objectively verified on screen. You will follow precise annotation guidelines while maintaining strong accuracy, consistency, and productivity. Successful contributors can gain priority access to more advanced and higher-paid AI data projects. The project provides structured onboarding and certification to help you master the required workflows and quality standards. It is an opportunity to contribute directly to the development and improvement of next-generation AI models while working within a quality-focused environment. Write concise 1–2 sentence summaries of video action sequences using simple, objective English and following strict annotation guidelines. Segment video timelines into discrete, action-based sections, ensuring a minimum of 2–3 segments per task with no gaps or overlaps. Create action labels using simple present tense and describe only actions that are directly and visually verifiable. Review and edit AI-generated captions to ensure accuracy, consistency, and compliance with project guidelines. Identify and correct inconsistencies or inaccuracies in automatically generated annotations. Maintain a high level of annotation quality, targeting benchmark accuracy of 85–90% or higher. Complete annotation workflows efficiently, with an expected productivity benchmark of approximately 4 minutes per minute of video. Use keyboard shortcuts and established workflow tools to complete tasks efficiently. Run required background screen-recording software during task execution. Follow all project procedures, productivity expectations, quality standards, and certification requirements. Maintain concentration and consistency throughout repetitive, detail-oriented annotation tasks. Requirements Strong attention to detail and a demonstrated ability to identify subtle differences or inconsistencies in visual content. Ability to describe only what is visibly observable without assumptions, interpretations, or inferred information. Strong written English skills and the ability to communicate actions using clear, simple, and consistent language. Ability to follow detailed guidelines precisely and apply the same rules consistently across a large volume of tasks. Strong accuracy and quality orientation, with the ability to achieve and maintain an 85–90%+ benchmark accuracy level. Ability to work efficiently toward productivity targets and complete a 1-minute video annotation workflow in approximately 4 minutes. Comfortable learning and using keyboard shortcuts and structured digital workflows. Ability to run background screen-recording software while completing assigned tasks. Strong focus and discipline when working on repetitive, quality-sensitive activities. Comfortable working independently within a structured, process-driven environment. Willingness to complete an approximately 3-hour certification and onboarding process. Ability to review training materials, complete practice tasks, and successfully pass 5 certification tasks within the required 4-minute-per-video time limit. Benefits Competitive project-based rate of $2.00–$5.00 per hour , depending on verified quality and productivity. One-time $10 bonus via PayPal after successfully completing the certification process. Access to upcoming batches of paid annotation tasks after certification. Priority access to more advanced and higher-paid AI data projects for successful contributors. Structured onboarding with guidelines, training videos, pract