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Data Annotator (Ubuntu Desktop)

Noida, India

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.

Key Responsibilities

  • Reconstruct GUI Task Trajectories. For each provided task:

  • Interpret the task instruction and text-only trajectory (Observation / Thought / Action).

  • Recreate the workflow inside an Ubuntu desktop environment. Also, update the thought and observation, likewise to your provided screenshot

  • Create New Tasks and perform the task based on the given existing prompts and annotate it with screenshots + action JSON in realistic Ubuntu desktop tasks (e.g., using VLC, LibreOffice, GIMP, browser tasks).

  • Maintain Annotation Quality

Required Skills

  • 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

Preferred Qualifications

  • 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 This Role Is Not

  • Not a programming, research job, creative engineering or coding or high-level design work

  • Not suitable for beginners who use only smartphones or Windows casually

This is a precision-driven, GUI-based desktop annotation job.


Perks of Freelancing With Us:

  • Work in a fully remote environment.

  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with 4 hours of overlap with PST. 

  • Engagement  type  : Contractor assignment (no medical/paid leave)

  • Duration of contract : 2 month



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