AI Training Software Engineer

About OpenTrain

OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We help people discover opportunities, build a profile, and grow their experience in a rapidly expanding field where human expertise directly shapes how AI systems learn and perform.

About AI Training Work

AI training is the human side of building artificial intelligence. Engineers, annotators, and evaluators create examples, tests, and feedback that help modern models reason more effectively, use tools correctly, and produce reliable results.

• Work remotely with a computer and internet connection
• Contribute directly to the development of cutting-edge AI systems
• Choose flexible, part-time work that fits around other commitments

The Role

OpenTrain AI is recruiting a Software Engineer to create reinforcement learning environments for next-generation AI model training. You will design reproducible environments that test an AI model's ability to solve complex software engineering tasks using Model Context Protocol tools.

Your work will help measure both tool-use proficiency and engineering skill through deterministic verification and golden reference solutions. The role is listed as entry level in the project details, while the responsibilities and required capabilities call for substantial software engineering expertise.

• Contractor position
• Part-time schedule of fewer than 20 hours per week
• Worldwide opportunity
• English-language work
• Pay: $100-$150 per hour

What You'll Do

You will build high-quality environments that give AI models realistic engineering challenges and provide accurate, repeatable ways to evaluate their solutions.

• Build reinforcement learning environments covering bug fixes, feature implementations, code refactoring, and performance optimization
• Design and implement Model Context Protocol tool interactions
• Create tasks that require agents to discover and reason over information from real MCP servers
• Develop deterministic verification methods and golden reference solutions
• Ensure environments are reproducible and evaluate both MCP tool proficiency and software engineering ability
• Collaborate with a remote team while maintaining high-quality output standards

Required Qualifications

This role is suited to a software engineer who can work across complex codebases, diagnose difficult problems, and create maintainable, high-performance solutions.

• Proficiency in C++, Python, Java, GoLang, TypeScript, or Rust
• Deep understanding of algorithms, data structures, and performance tuning
• Demonstrated experience debugging complex software issues and delivering maintainable solutions
• Strong background in feature development and codebase refactoring
• Proven ability to optimize software for performance and scalability
• Exceptional written and verbal communication skills with close attention to detail
• Track record of success in collaborative, cross-functional teams, ideally in remote settings

Helpful Background

The following experience is helpful for creating realistic, technically rigorous training environments, though it is not listed as required.

• Experience with large-scale, distributed codebases
• Familiarity with modern AI or machine learning systems
• Background in code reviews and software engineering best practices

Why This Work Matters

Reinforcement learning environments give AI systems structured ways to practice solving difficult problems and receive meaningful evaluation. By designing reliable coding tasks and verification systems, you will influence how future models reason about software engineering and use development tools.

Getting Started With OpenTrain

Creating an OpenTrain account is free. Build your profile, review opportunities that match your expertise, and apply in minutes for flexible AI training work that can grow into a lasting career.