Ubuntu/Linux User for AI Data Training
SME Careers • Remote
Education
Any
Type
hourly
Pay Rate
$20/task
Listed
16d ago
ℹ️ Job Reference ID
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About this Role
From the SME Careers listing
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.
🌍 Geographic Availability This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.
💰 Pay Rate May Vary Based on Your Location Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.
If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.
Requirements
- Student Job
- Linux
- Attention to Detail
- Ubuntu
- App Installation
- Data Annotation
- Part-Time
Why This Role
Don't just label data as a Ubuntu/Linux User for AI Data Training, build a career. SME Careers is unique in the AI training space because it offers a transparent growth ladder. High performers in Generalist aren't just kept in the queue; they are promoted to Quality Analysts and Project Managers. With weekly transparent payments via Deel and the freedom to work on your own schedule, this is built for modern experts who want long-term engagement.
Skills & Categories
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Frequently Asked Questions
Does SME Careers offer a path for advancement?
Yes. SME Careers is unusual among AI training platforms for this: it publishes an explicit career ladder, Data Trainer, then Quality Analyst, then QA Lead, then Project Manager. Consistent, high-quality work is what moves you up it.
How does SME Careers pay freelancers?
Weekly, through Deel. Deel also handles tax compliance, which is how SME Careers pays contractors across more than 40 countries without running its own international payroll.
Is SME Careers work ongoing or project-based?
Project-based. Assignment duration and availability vary by project, but consistently high-quality work earns priority access to whatever comes next.
What does task-based AI training work actually look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
Do task-based AI training roles require an interview?
Check the Job Facts panel above for this specific listing. Where no fact is confirmed yet: most of these roles skip a live interview and gate access through an automated assessment or qualification task instead, though some do add an interview step, so don't assume either way until you check the application flow.
What does Generalist work look like for a Ubuntu/Linux User for AI Data Training?
Tasks here are scoped to Generalist, not generic labeling. As a Ubuntu/Linux User for AI Data Training, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Generalist) rather than following a one-size-fits-all rubric. If you don't have hands-on Generalist background, this is likely not the right listing to start with.
What happens when I click Apply on this listing?
You'll be taken to SME Careers's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who is behind SME Careers?
SME Careers is the expert talent division of SuperAnnotate, an AI data infrastructure platform, connecting domain experts with high-level AI training projects.