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.