Open-Source Software Engineer

About OpenTrain

OpenTrain is the platform where people find and build careers in AI training and data labeling. Contributors use OpenTrain to discover projects, build a profile that reflects their expertise, and apply to opportunities in minutes.

In this role, OpenTrain AI is recruiting experienced open-source engineers to help improve how advanced AI systems understand, write, debug, and evaluate software.

• Build a credible AI-training portfolio around your software-engineering expertise
• Discover flexible remote work connected to the development of modern AI systems
• Create an OpenTrain account for free

About AI Training and Code Evaluation

AI training is the human side of building artificial intelligence. Software engineers contribute by creating coding tasks, reviewing model-generated code, testing behavior, and judging whether solutions are correct, complete, secure, and maintainable.

Your engineering judgment will help shape how AI systems work with real software repositories, architectures, interfaces, and development practices.

• Work at the intersection of software engineering and artificial intelligence
• Apply practical engineering judgment to challenging coding and evaluation tasks
• Contribute remotely with flexible scheduling

The Open-Source Software Engineer Role

OpenTrain is seeking an Open-Source Software Engineer to create, solve, review, and validate challenging software-engineering tasks for AI training. You will work across front-end and back-end systems, investigate unfamiliar repositories, debug complex behavior, translate complete coding builds between languages, and evaluate AI-generated patches.

This is a global, fully remote contractor opportunity. The expected commitment is approximately 15 hours per week, with the option to work weekends when needed.

• Contractor and part-time engagement
• Approximately 15 hours per week
• Flexible scheduling, including weekends when needed
• Fully remote
• Global opportunity limited to the countries listed for this role
• English-language work

What You'll Do

You will explore and understand unfamiliar software repositories, implement and debug front-end and back-end components, and trace data and execution across interfaces, services, libraries, APIs, databases, and external dependencies.

You will reproduce software issues, identify underlying causes, and implement solutions that fit existing architectures and contribution standards. You will also translate complete coding builds from one programming language into another.

Quality evaluation is a central part of the work. You will write unit, integration, regression, and end-to-end tests, then review AI-generated patches for correctness, completeness, security, and maintainability.

• Investigate unfamiliar open-source repositories and codebases
• Implement and debug front-end, back-end, systems, developer tooling, or infrastructure components
• Trace data and execution across APIs, services, libraries, databases, and external dependencies
• Reproduce issues and diagnose root causes
• Translate substantial software implementations between programming languages
• Write comprehensive automated tests across multiple testing levels
• Evaluate AI-generated patches for correctness, completeness, security, and maintainability

Required Experience and Skills

You should have a public or otherwise verifiable GitHub profile and meaningful ownership of, or contributions to, one or more open-source repositories. Your portfolio must demonstrate substantive authored code rather than only documentation updates, dependency changes, formatting work, or minor corrections.

Strong software-engineering experience is required in front-end, back-end, full-stack, systems, developer tooling, infrastructure, or another substantial technical area. You must be able to understand, modify, and debug unfamiliar codebases and work with multiple programming languages.

• Verifiable GitHub profile or equivalent record of authored code
• Meaningful ownership of or contributions to open-source repositories
• Experience with multiple programming languages
• Possible languages include TypeScript, JavaScript, Python, Java, Go, Rust, C++, C#, and Ruby
• Ability to understand and modify unfamiliar front-end, back-end, systems, or infrastructure codebases
• Experience translating or adapting substantial software implementations
• Ability to write comprehensive automated tests
• Ability to assess code for correctness, security, completeness, and maintainability

Who Should Apply

This opportunity is listed at the entry level, but it requires demonstrable software-engineering ability and meaningful open-source work. It may suit engineers who can show substantial authored code and are comfortable moving between unfamiliar repositories, languages, and technical systems.

Apply if your public work demonstrates more than minor maintenance contributions and you can independently reason about implementation quality, debugging, testing, and software architecture.

• Open-source engineers with a substantive public portfolio
• Front-end, back-end, full-stack, systems, tooling, or infrastructure engineers
• Developers comfortable evaluating both human-written and AI-generated code
• Engineers seeking flexible, part-time work in AI training

Compensation and How to Apply

The compensation range for this contractor opportunity is $100 to $150 USD per hour. Work is expected to average less than 20 hours per week, approximately 15 hours.

Create a free OpenTrain account, present your verifiable open-source experience, and apply through OpenTrain. A strong profile can help you show credible experience, find work aligned with your skills, and build a lasting AI-training portfolio.

• $100-$150 USD per hour
• Less than 20 hours per week
• Approximately 15 hours per week expected
• Apply through OpenTrain