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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.
Job Responsibility:
Reconstruct GUI Task Trajectories
Interpret the task instruction and text-only trajectory (Observation / Thought / Action)
Recreate the workflow inside an Ubuntu desktop environment
Update the thought and observation
Create New Tasks and perform the task based on the given existing prompts
Annotate it with screenshots + action JSON in realistic Ubuntu desktop tasks (e.g., using VLC, LibreOffice, GIMP, browser tasks)
Maintain Annotation Quality
Requirements:
Linux / Ubuntu Usage (Mandatory)
Comfortable using Ubuntu Desktop as primary or secondary OS
File Manager
Desktop navigation, window switching, and settings
Understanding of basic file paths and user directories
Open-source Application Experience (Required)
Know how to perform common tasks in: Chrome, VLC Media Player, LibreOffice Writer / Calc / Impress, GIMP, Thunderbird, VS Code
Excellent computer usage skills
Patience
Strong attention to detail
Nice to have:
1–3 years of experience in: IT helpdesk
QA / manual software testing
Linux desktop administration
Data annotation projects involving UI tasks
Familiarity with task recording or automation tools (optional)
What we offer:
Work in a fully remote environment
Opportunity to work on cutting-edge AI projects with leading LLM companies
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