The work
You will create realistic coding problems for AI training. These tasks test whether models can fix bugs, add features, refactor code, and improve performance.
You will also build reproducible environments, deterministic verifiers, and reference solutions. The work includes reviewing technical submissions and documenting the reasoning behind solutions.
- Create coding tasks for feature implementation, bug fixing, refactoring, and performance optimization.
- Build reproducible reinforcement learning environments for coding evaluation.
- Write deterministic verifiers that accept valid solutions and reject incorrect ones.
- Produce reference solutions for each coding problem.
- Analyze complex defects and performance bottlenecks.
- Improve large or legacy codebases with scalable, maintainable features.
- Document technical reasoning and solution approaches for AI training data.
- Review technical submissions for accuracy and clarity.
What it pays and takes
This is an entry-level, part-time contractor role focused on backend software engineering and AI coding evaluation. Previous AI experience is not required.
- $50 to $100 per hour equivalent, paid per task that meets project specifications.
- Less than 20 hours per week.
- Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
- Professional fluency in English.
- Hands-on expertise in Python, Java, Rust, Go, C++, TypeScript, Node.js, or a similar backend language.
- Experience building scalable services and APIs, debugging software, writing automated tests, and applying algorithms and data structures.
- Experience resolving performance bottlenecks and refactoring large or legacy codebases.
- Strong code review, documentation, analytical, and technical communication skills.
- Clear open-source contributions or an equivalent portfolio that demonstrates coding ability.
- Experience delivering backend features across cross-functional projects and strong public GitHub work are helpful.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
About AI Training Work
AI training work uses examples and human reviews to help artificial intelligence systems learn how to respond and perform tasks. OpenTrain is where people find these projects, build a profile, and start applications, while experienced contributors can qualify for specialized coding work.