Ubuntu/Linux User for AI Data Training

SME Careers; Oman; Remote; OMR 4,100 - 6,900; Part time

Job summary

SME Careers, a remote contractor role focused on AI data training, seeks individuals comfortable with Ubuntu/Linux and task-based work. You will install applications, follow detailed guidelines, and record your actions while maintaining high accuracy and independence.

This fully remote, hourly-paid position is suitable for students and junior applicants. SME Careers is a fast-growing AI data services company and a subsidiary of SuperAnnotate, contributing to AI model training across major

Qualifications

• Own a computer running Ubuntu/Linux.
• Available for approximately 15 hours per week.
• Able to follow setup instructions independently.
• Student or junior applicants welcome.
• No prior AI experience required.

Responsibilities

• Follow detailed 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.

Skills

Tech-savvy

Attention to detail

Follow instructions

Independent

Reliable

Communication

Tools

Ubuntu/Linux

Job description

We are looking for people who regularly use Ubuntu/Linux. No prior AI experience is required. If you are comfortable working in Ubuntu, installing applications, following instructions, and completing technical tasks independently, we would like to hear from you.

As an AI Data Trainer with Linux/Ubuntu, you will work remotely on an hourly paid basis to support AI data training projects through structured, detail-oriented tasks. You will install applications 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. While advanced AI experience is not required, you should be tech-savvy, reliable, careful with instructions, and able to work independently.

This role is a good fit for students, junior candidates, Linux enthusiasts, and other tech-savvy individuals who are patient, focused, detail-oriented, and comfortable working with Ubuntu/Linux.

This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate 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.

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

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 consistently
• Be 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.