Ubuntu User - Remote

YO IT Consulting

Fatih

On-site

TRY 647,977 - 1,295,954

Part time

14 days+
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Job summary

YO IT Consulting is seeking an Ubuntu User to work remotely on an hourly basis, performing setup, installation, and documentation tasks for AI data training projects. The role suits students or junior candidates who are tech‑savvy, patient, and detail‑oriented, able to follow written instructions and work independently from a personal Ubuntu/Linux computer.

You will handle structured, repetitive tasks and must be able to commit to about 15 hours per week, with reliable, timely submission of work

Qualifications

  • Access to a personal computer running Ubuntu/Linux
  • Comfort installing required apps and project software
  • Able to follow setup instructions independently
  • Available for approximately 15 hours per week
  • Patient, detail‑oriented and reliable
  • Able to work remotely and meet task deadlines
  • Student or junior candidates welcome
  • Experience in AI data training is helpful but not required

Responsibilities

  • Follow detailed written guidelines and apply them carefully
  • Install and use required applications on an Ubuntu/Linux computer
  • Check work for mistakes before submission
  • Identify inconsistencies or issues and report them
  • Maintain focus during repetitive or detail‑heavy tasks
  • Complete assigned work within weekly availability
  • Communicate clearly with the project team when support is needed
  • Contribute to improving the quality of AI model training data

Skills

Tech-savvy
Detail-oriented
Patient
Independent worker
Reliable
Attentive to instructions

Tools

Ubuntu/Linux
Browser-based tools

Job description

About This Role

As a Ubuntu User you will work remotely on an hourly paid basis to support AI data training projects through structured, detail‑oriented tasks. You will install apps and record your actions while completing tasks with patience, concentration, and strong attention to detail. This role requires you to have your own computer running Ubuntu/Linux and to be comfortable installing the applications and tools needed for the project. You do not need advanced AI experience, but you should be tech‑savvy, reliable, careful with instructions, and able to work independently. This role is a good fit for students, junior candidates, and tech‑savvy individuals who are patient, focused, detail‑oriented, and comfortable working with Ubuntu/Linux. You will work full‑time remotely for a fast‑growing AI data services company that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your work will directly contribute to improving AI systems used across products and industries.

Job Title: Ubuntu User

Job Type: Contract

Location: Remote

Your Profile
  • Have access to a personal computer running Ubuntu/Linux
  • Be comfortable installing required apps, tools, and project software
  • Be tech‑savvy and able to follow setup instructions independently
  • Be available for approximately 15 hours per week
  • Be patient, concentrated, and detail‑oriented
  • Be able to follow written instructions carefully and consistentlyBe comfortable completing structured and sometimes repetitive tasks
  • Have basic computer literacy and confidence using browser‑based tools
  • Be reliable, responsive, and able to meet task deadlines
  • Student candidates and junior applicants are welcome
  • Previous experience in AI data training, data annotation, QA, software testing, or research tasks is helpful but not required
Key Responsibilities
  • Follow detailed written guidelines and apply them carefully
  • Install and use required applications on an Ubuntu/Linux computer
  • Check work for mistakes before submission
  • Identify inconsistencies, unclear instructions, or technical issues when they arise
  • Maintain focus during repetitive or detail‑heavy tasks
  • Complete assigned work within agreed weekly availability
  • Communicate clearly with the project team when support is needed
  • Contribute to improving the quality of AI model training data
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