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
Libre Office 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.