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.
Accountabilities 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.
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.