Join an AI training project as an expert open-source software contributor, working flexibly for under 20 hours per week at $100-$150 per hour. Applicants must be based in the US, UK, Australia, Germany, New Zealand, or Ireland.
About OpenTrain
OpenTrain AI is the platform for finding and building careers in AI training and data labeling. Contributors use OpenTrain to discover projects, build a professional profile, and apply to opportunities in minutes. Creating an account is free.
- Contractor opportunity with OpenTrain AI
- Expert-level software engineering work
- Flexible schedule of under 20 hours per week
- Expected project duration of 1 to 3 months
About AI Training Work
AI training is the human side of building modern artificial intelligence. Software engineers help improve AI systems by creating challenging coding tasks, evaluating generated code, identifying defects, and checking whether proposed solutions are correct, secure, and maintainable.
This work is part of a fast-growing technology field. Many AI training projects offer flexible, remote-friendly ways to apply professional expertise while helping shape how advanced AI systems understand and produce software.
- Work directly with software-development and code-evaluation tasks
- Apply practical engineering judgment to AI-generated output
- Use your experience with real-world repositories and systems
The Role
OpenTrain AI is seeking highly skilled Open Source Contributors with strong software engineering backgrounds. You will contribute to an AI training project involving software development, repository exploration, debugging, system architecture, and code evaluation.
The project includes creating, solving, reviewing, and validating challenging software engineering tasks across front-end and back-end systems. You may also help translate complete coding builds from one programming language into another.
- Pay: $100-$150 USD per hour
- Typical rate: $130 USD per hour
- Time commitment: under 20 hours per week
- Schedule: flexible hours and days, including weekends if needed
- Project duration: expected to be 1 to 3 months
- Work eligibility: applicants must be based in the United States, United Kingdom, Australia, Germany, New Zealand, or Ireland
- English proficiency: fluent English required
What You'll Work On
You will work across unfamiliar codebases and evaluate software tasks that require careful technical reasoning. The work may span front-end and back-end components, system architecture, APIs, databases, libraries, infrastructure, and external dependencies.
- Explore and understand unfamiliar software repositories.
- Implement, modify, and debug front-end and back-end components.
- Trace data and execution across interfaces, services, libraries, APIs, databases, and external dependencies.
- Reproduce software issues and identify their underlying causes.
- Implement solutions that fit an existing project's architecture and contribution standards.
- Write unit, integration, regression, and end-to-end tests.
- Create, solve, review, and validate challenging software engineering tasks.
- Review AI-generated patches for correctness, completeness, security, and maintainability.
- Help translate complete coding builds from one programming language into another.
Required Qualifications
This is an expert-level opportunity for engineers who can demonstrate substantial, hands-on software development ability. Your open-source record should show meaningful engineering contributions rather than only minor maintenance activity.
- Public or otherwise verifiable GitHub profile
- Meaningful ownership of or contributions to one or more open-source repositories
- Strong software engineering experience in front-end, back-end, full-stack, systems, developer tooling, infrastructure, or another substantial technical area
- Experience with multiple programming languages
- Ability to understand and modify unfamiliar codebases
- Ability to discuss specific repositories, pull requests, issues, and code you personally authored
- Contributions that demonstrate real engineering ability, beyond documentation updates, dependency bumps, formatting changes, or minor typo corrections
Who Should Apply
This project is a strong fit for open-source software engineers who own or maintain repositories or have made meaningful contributions to established projects. It is especially suited to contributors who enjoy debugging complex systems, navigating unfamiliar architecture, and evaluating whether code works in practice.
- Open-source maintainers with verifiable repository ownership
- Engineers with substantial pull requests, issue resolutions, or authored code
- Full-stack, systems, infrastructure, developer tooling, and software engineers
- Experienced developers comfortable working across multiple languages
- Engineers who can clearly explain their technical decisions and past contributions
How to Apply Through OpenTrain
Create a free OpenTrain account, build your profile, and apply in minutes. Be prepared to share a verifiable GitHub profile and discuss the repositories, pull requests, issues, and code that demonstrate your engineering experience.
- Confirm that you are based in an eligible country.
- Highlight your open-source ownership and meaningful contributions.
- Show the programming languages and technical areas you work across.
- Prepare examples of code you personally authored and projects you can discuss in detail.