The work
You will use an Ubuntu/Linux computer to complete structured tasks that help create training data for AI systems. The work involves careful setup, following written instructions, recording your actions, and reviewing each submission.
You will work independently and raise unclear instructions or technical problems when they come up.
- Install required applications, tools, and project software on Ubuntu/Linux
- Follow detailed written instructions for each task
- Record your actions while completing structured work
- Check completed tasks for mistakes before submitting them
- Identify unclear instructions, inconsistencies, and technical issues
- Stay focused during repetitive, detail-heavy tasks
- Communicate clearly when support is needed
What it pays and takes
This is an entry-level, part-time contractor role. Previous AI data training, data annotation, quality assurance, software testing, or research experience can help but is not required.
- $10 to $20 per hour
- Less than 20 hours per week
- Open to candidates in supported countries across the Americas, Europe, Asia, and the Middle East
- Fluency in English
- Regular experience using Ubuntu/Linux
- Access to a personal computer running Ubuntu/Linux
- Comfort installing applications, tools, and project software independently
- Basic computer skills and confidence using browser-based tools
- Strong attention to detail and patience with repetitive work
- Reliability, responsiveness, and the ability to meet deadlines
- Ability to work independently from written instructions
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. The role requires you to install and use the required applications on your Ubuntu/Linux computer.
About AI training work
AI training work is the human side of building artificial intelligence. People prepare, record, review, and rate examples so AI systems can learn from better data.
OpenTrain is a platform where people find AI training and data-labeling roles, build a profile, and apply to projects. Careful work and relevant technical experience can help contributors qualify for more specialized projects.