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OpenTrain AIFor AI Companies

Software Engineering RL Environment Creator

Create reproducible reinforcement learning environments that test how AI models solve real software engineering workflows. This worldwide remote contractor role offers approximately 15 hours per week and listed compensation of $100–$150 per hour.

OpenTrain AI

Coding & Software

100% Remote Hourly · $100–$150/hr

$100–$150/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Aug 4, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build a professional profile, and grow their experience in a fast-moving field.

Creating an OpenTrain account is free. Your profile can help you present credible AI training experience, discover work aligned with your skills, and develop a long-term portfolio.

About AI Training and Model Evaluation

AI training is the human side of building artificial intelligence. People create examples, evaluate model behavior, and provide structured feedback that helps modern systems become more capable, reliable, and useful.

In this role, your software engineering expertise will help evaluate whether AI models can reason through realistic development, debugging, DevOps, and command-line workflows.

The Role

OpenTrain AI is recruiting a Software Engineering RL Environment Creator to design reproducible reinforcement learning environments for complex engineering tasks. You will turn realistic technical workflows into structured evaluations with clear inputs, expected behavior, and dependable golden reference solutions.

The work may involve Git, Docker, GDB, AddressSanitizer, FFmpeg, and related developer utilities. You will apply sound engineering judgment to make each environment technically meaningful, maintainable, and repeatable.

  • Worldwide remote contractor engagement
  • Approximately 15 hours per week
  • Part-time contract role
  • English-language work
  • Listed compensation: $100–$150 USD per hour; confirm compensation terms before accepting the engagement

What You’ll Do

You will create software engineering workflows that test an AI model’s ability to solve realistic technical problems. Your work will span development and evaluation, from designing the task environment through producing a reliable reference solution against which model-generated approaches can be assessed.

  • Design realistic DevOps, CI/CD, debugging, performance, and code-maintenance scenarios
  • Build reproducible environments with structured inputs and clearly defined expected behavior
  • Develop golden reference solutions for evaluating model-generated approaches
  • Use command-line and development tools where appropriate
  • Create workflows that are maintainable, repeatable, and technically meaningful
  • Apply engineering judgment to complex software and systems problems

Required Skills

This role is listed at the entry level, while requiring strong software engineering capability in the areas below. You must be proficient in at least one supported programming language and able to design, debug, and document complex engineering workflows.

  • Proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust
  • Strong understanding of algorithms, data structures, performance tuning, and scalable software design
  • Ability to design and debug complex DevOps, CI/CD, and software engineering workflows
  • Experience creating maintainable code and refactoring codebases
  • Ability to develop reliable golden or reference solutions
  • Demonstrated ability to debug complex software issues and deliver maintainable solutions
  • Careful written and verbal communication
  • Experience with collaborative software development

Helpful Background

The following experience is helpful but not required. It may be especially valuable when creating environments that represent complex production engineering challenges.

  • Large-scale or distributed codebases
  • Modern AI or machine learning systems
  • Rigorous code reviews
  • Software engineering best practices

Why Work With OpenTrain

AI training and data-labeling work is a rapidly growing part of the technology industry, and contributors directly influence how advanced AI systems behave. OpenTrain brings opportunities and professional growth tools together so you can build experience without starting from scratch for every project.

This flexible, remote engagement can fit around other commitments while giving you the opportunity to apply advanced software engineering skills to cutting-edge AI model evaluation.

  • Work remotely from anywhere in the world
  • Choose a part-time schedule of approximately 15 hours per week
  • Build experience at the intersection of software engineering and AI training
  • Create a stronger portfolio through your OpenTrain profile

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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