Software Engineer, Open Source Contributions

OpenTrain AI, Inc.; United States; Remote; USD 69,000 - 138,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a Software Engineer to contribute to open source projects, add features, fix bugs, and review code in a remote, part-time contractor role.

You will work on AI training related code, document decisions, and communicate clearly with contributors; pay is 50–100 USD per hour, with less than 20 hours weekly.

Qualifications

• Fluent English for code review, documentation, and communication.
• Expert-level proficiency in at least two programming languages from Python, C++, Java, Rust, TypeScript, Go, or C#.
• Extensive open source contribution experience in feature development, bug fixing, or codebase refactoring.

Responsibilities

• Develop, implement, and refine features in existing open source projects.
• Analyze complex bugs and deliver maintainable fixes that follow project standards.
• Refactor and optimize legacy code to improve performance, readability, and scalability.
• Use advanced algorithms and competitive programming techniques to solve difficult coding problems.
• Validate code and outputs for accuracy and consistency.
• Review proposed changes with other contributors and maintain technical documentation.
• Write concise explanations of solution design and implementation decisions.

Skills

Python

C++

Java

Job description

Software Engineer, Open Source Contributions

Build and improve open source software by adding features, fixing complex bugs, refactoring legacy code, and reviewing code. Pay is $50 to $100 per hour equivalent, paid per task that meets the project specifications.

$50-$100/hr

equivalent, paid per accepted task

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 52 countries

• Argentina
• Austria
• Canada
• Chile
• Colombia
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Italy
• Japan
• Jordan
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Oman
• Pakistan
• Philippines
• Portugal
• Qatar
• South Africa
• Spain
• Sri Lanka
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Vietnam

The work

You will contribute to existing open source codebases that support AI training work. The role focuses on reliable software development, careful validation, and clear technical explanations.

• Develop, implement, and refine features in existing open source projects.
• Analyze complex bugs and deliver maintainable fixes that follow project standards.
• Refactor and optimize legacy code to improve performance, readability, and scalability.
• Use advanced algorithms and competitive programming techniques to solve difficult coding problems.
• Validate code and outputs for accuracy and consistency.
• Review proposed changes with other contributors and maintain technical documentation.
• Write concise explanations of solution design and implementation decisions.

What it pays and takes

This is a remote, part-time contractor role. The work is open to candidates in the listed countries across North America, South America, Europe, Asia, Africa, and the Middle East.

• Pay: $50 to $100 per hour equivalent, paid per task that meets the project specifications.
• Time commitment: less than 20 hours per week.
• Language: fluent English for code review, documentation, and technical communication.
• Expert‑level proficiency in at least two relevant programming languages, including Python, C++, Java, Rust, TypeScript, Go, or C#.
• Extensive open source contribution experience in feature development, bug fixing, or codebase refactoring.
• Ability to analyze complex coding problems and apply competitive programming techniques.
• Strong attention to detail in code review, validation, maintenance, and documentation.
• Clear written and verbal communication, independent work habits, and the ability to deliver well‑documented code under project deadlines.

About AI training work

AI training is the human work behind systems that learn from examples. Software engineers can support this work by creating, reviewing, and validating code used to improve AI systems, and strong engineering experience is useful when tasks require reliable solutions and careful judgment.

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