Data Annotator

We are looking for hands-on Ubuntu desktop users to help refine multimodal datasets for AI training. This role involves replaying real computer tasks inside an Ubuntu environment, capturing accurate screenshots, and producing PyAutoGUI-style action annotations step-by-step. This is not a coding or engineering role. It requires excellent computer usage skills, patience, and strong attention to detail. Responsibilities • Navigate and explore operating systems (e.g., Windows or macOS) to complete guided tasks. • Follow clear, step-by-step instructions provided by the team. • Observe how the system behaves when tasks are performed. • Record actions, results, and observations accurately in annotation tools. • Flag unexpected behavior or issues using predefined guidelines. • Maintain consistency and quality across repetitive tasks. Must Have Linux / Ubuntu Usage (Mandatory) You must be comfortable using Ubuntu Desktop as your primary or secondary OS, including: File Manager Desktop navigation, window switching, and settings Understanding of basic file paths and user directories Open-source Application Experience (Required) You should know how to perform common tasks in: Chrome VLC Media Player LibreOffice Writer / Calc / Impress GIMP Thunderbird VS Code Annotation Accuracy. Able to match screenshots with the correct next-step actions. Able to identify UI elements and click at the correct coordinates. Comfortable writing simple JSON. Must be comfortable writing accurate screen-state descriptions (observations) and generating model-style thought processes that logically lead to the next action. Patient, detail-oriented, consistent. Able to follow structured guidelines. Not easily bored by step-by-step GUI work.