Software Engineer Open Source Coding Contributor

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

Job summary

OpenTrain AI, Inc. is seeking a remote, part-time contractor to craft reproducible coding environments for AI systems. You will design realistic tasks, create reference solutions, and document technical reasoning across Python, Java, Rust, Go, C++, and TypeScript.

Backend services and APIs will be built, tested, and reviewed with emphasis on scalable, maintainable code. The role emphasizes debugging complex systems, improving performance, and thorough code review, with clear English

Qualifications

• Strong hands-on expertise in Python, Java, Rust, Go, C++, or TypeScript.
• Backend development experience with scalable services and APIs.
• Knowledge of algorithms, data structures, software engineering principles, automated testing, and code review.
• Ability to debug complex systems, resolve bugs, improve performance, and work with large codebases.
• Clear technical documentation and communication skills, including English-language work.

Responsibilities

• Design realistic tasks covering feature implementation, bug fixing, refactoring, and performance improvement.
• Create reference solutions and deterministic verifiers that accept valid solutions and reject incorrect ones.
• Write code samples, debugging strategies, developmental insights, and technical reasoning in supported programming languages.
• Analyze software defects and performance bottlenecks across different codebases.
• Refactor legacy systems to improve clarity, efficiency, scalability, and long-term reliability.
• Review peer-contributed code and technical submissions for accuracy and clear explanations.

Skills

Python

Java

Rust

Go

C++

TypeScript

Job description

The work

You will create reproducible coding environments for AI systems. The work combines backend engineering with writing, reviewing, and documenting data used to train and evaluate coding models.

• Design realistic tasks covering feature implementation, bug fixing, refactoring, and performance improvement.


• Create reference solutions and deterministic verifiers that accept valid solutions and reject incorrect ones.


• Write code samples, debugging strategies, developmental insights, and technical reasoning in supported programming languages.


• Analyze software defects and performance bottlenecks across different codebases.


• Refactor legacy systems to improve clarity, efficiency, scalability, and long-term reliability.


• Review peer-contributed code and technical submissions for accuracy and clear explanations.

What it pays and takes

This is a remote, part-time contractor opportunity for candidates in supported locations. Previous AI experience is not required, but strong software engineering judgment is important.

• $50 to $100 per hour equivalent, paid per task that meets the project specifications.


• Typical task runs are approximately 15 hours.


• Less than 20 hours per week.


• Remote contractor work in supported locations.


• Open to candidates in: AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, ZA.


• Experience level: Entry level.


• Strong hands-on expertise in Python, Java, Rust, Go, C++, TypeScript, or a similar programming language.


• Backend development experience with scalable services and APIs.


• Knowledge of algorithms, data structures, software engineering principles, automated testing, and code review.


• Ability to debug complex systems, resolve bugs, improve performance, and work with large codebases.


• Clear technical documentation and communication skills, including English-language work.


• Open source contributions and a public GitHub profile are helpful.

About AI training work

AI training work is the human side of building artificial intelligence. Contributors create and review examples, code, and feedback that help AI systems produce more useful results, while experienced specialists are paid for their technical knowledge and judgment.