SME Careers
SME CareersVerified listing
Remote

Ubuntu Linux AI Data Training Specialist for Remote Tasks

Up to 20/hr
Remote
Posted August 30, 2026
contract
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Listing checked September 4, 2026 · pay as published by SME Careers

Overview

Remote contract role supporting AI data training projects through structured, detail-heavy tasks on your own Ubuntu and Linux setup. You'll install required tools on Ubuntu and document your steps as you contribute to data annotation for model training. This position is ideal for students or junior tech enthusiasts who can commit about 15 hours weekly and work independently. Prior AI experience is not required, but a careful, methodical approach helps you succeed.

What You'll Do8

  • 1Follow precise guidelines and apply them accurately within Ubuntu and Linux environments.
  • 2Install and configure the required tools on a Ubuntu or Linux machine.
  • 3Review completed work for errors before submission.
  • 4Flag inconsistencies or unclear instructions to keep tasks aligned.
  • 5Maintain focus through repetitive, detail-heavy labeling tasks.
  • 6Complete assigned work within the weekly time commitment.
  • 7Communicate with the project team when support is needed.
  • 8Contribute to improving the quality of AI model training data.

Requirements11

  • 1Own a personal computer running Ubuntu or Linux.
  • 2Comfort installing required apps and project software on your system.
  • 3Tech-savvy and able to follow setup instructions independently.
  • 4Available for about 15 hours per week.
  • 5Patient, concentrated, and detail-oriented.
  • 6Able to follow written instructions carefully and consistently.
  • 7Comfortable completing structured and sometimes repetitive tasks.
  • 8Basic computer literacy and comfort with browser-based tools.
  • 9Reliable and able to meet task deadlines.
  • 10Students and junior applicants are welcome.
  • 11Prior ai data training, data annotation, qa or software testing experience is helpful but not required.

Who Should Apply

Students and junior technologists who regularly work with Ubuntu/Linux and can follow setup docs fit best. Availability around 15 hours weekly and a patient, detail-focused approach are essential. Those without a personal computer running Ubuntu or who struggle with browser-based tools should look elsewhere. While prior AI experience helps, this role welcomes newcomers seeking practical data-training exposure.

Salary Insight

Pay rate: $20 per hour. This hourly contractor role suits students or early-career contributors seeking flexible, task-based work.

Pay and demand for Machine Learning & AI roles

Aggregated

Typical pay

$75/hour

This role

up to $20/hr

Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits below that range.

Based on 509 similar roles that publish pay · 90 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
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Listed in last 30 days
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Hiring most right now: micro1 (259) · Mercor (79) · SME Careers (60)

Most requested skills · share of roles

  • python
    17%
  • technical writing
    9%
  • llm evaluation
    8%
  • ai evaluation
    7%

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Location

Typeremote
LocationRemote
Eligible countriesAlbania, Argentina, Armenia, Bahrain, Bangladesh +56 more
This is a remote position

Compensation

Up to $20/hr

Required Skills

ubuntulinuxai_data_trainingdata_annotationdata_labelingqasoftware_testingpythonbashgitdockerjupyter_notebookaptshell_scriptingweb_browsingtask_documentationdata_quality_assurancetroubleshootingremote_worktime_managementai data trainingai model evaluationapp installationattention to detaildata annotationpart-timeremote workstudent job

Application Tip

In your application, cite a concrete Ubuntu-based task you completed: list the exact commands you ran (for example, apt install ...), the setup steps you followed, and a brief note on the data labeling result.

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  1. 1Instant rubric match

    Your resume is scanned against this role’s requirements to check qualification fit.

  2. 2Screened before the employer sees it

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  3. 3Outcome by email

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