Software Engineer AI Code Evaluation

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting contractors for specialized work that helps shape how advanced AI systems understand, write, debug, and improve software.

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About AI Code Evaluation

AI training is the human side of building artificial intelligence. In code evaluation, experienced software engineers create examples, test model-generated solutions, identify defects, and explain which approaches are correct, maintainable, and efficient.

This work directly supports the development of AI systems that assist with real software engineering tasks, including debugging, feature development, refactoring, and optimization.

The Role

OpenTrain is seeking a Software Engineer for AI code evaluation and reinforcement learning environment development. You will transform realistic software engineering challenges into reproducible environments that test how AI models solve complex coding problems.

You will also develop golden reference solutions and contribute expert-level technical examples across supported programming languages and diverse codebases. The listing identifies this opportunity as entry level, while the role requires advanced hands-on programming ability and substantial technical problem-solving skills.

• Remote contractor opportunity
• Part-time engagement
• Approximately 15 hours per week in the role description
• Structured listing requirement of 20+ hours per week
• Hourly pay of $100 to $150 USD
• English-language work
• Eligibility across the countries listed in the application

What You'll Do

You will design reliable evaluation tasks and provide clear technical solutions that can be reproduced and reviewed. Your work will cover software defects, performance bottlenecks, new features, legacy code, and optimization challenges.

You will document your reasoning so that technical decisions, solution strategies, and expected outcomes are understandable to reviewers and useful for AI training. You will also assess peer contributions for correctness, accuracy, and clarity.

• Create reproducible environments for software engineering evaluation tasks
• Develop golden reference solutions for code-fixing, feature, refactoring, and optimization problems
• Write expert code samples and debugging strategies
• Analyze complex software defects and performance bottlenecks
• Implement scalable, maintainable features
• Refactor legacy code to improve clarity, efficiency, and reliability
• Document technical reasoning, solution approaches, and code decisions
• Review peer code and technical submissions for accuracy and clarity

Required Skills

You should be highly capable of working hands-on in at least one of the supported programming languages and comfortable applying core software engineering concepts to difficult, realistic problems. Strong written technical communication is also important because solutions must be explained and reviewed clearly.

• Advanced programming ability in Python 3, Java, Rust, Go, C++, or TypeScript
• Strong understanding of algorithms, data structures, and software engineering practices
• Ability to debug complex software defects
• Ability to diagnose performance bottlenecks
• Experience designing reproducible solutions for coding, refactoring, or optimization problems
• Ability to explain technical reasoning clearly
• Ability to review code submissions for correctness and clarity

Helpful Background

Experience refactoring large codebases, modernizing legacy systems, and delivering high-impact features from initial concept through delivery is useful. Curiosity about AI systems and their technical challenges is welcome, but prior AI experience is not required.

• Large-scale codebase refactoring
• Legacy system modernization
• Feature development from conception through delivery
• Interest in the technical challenges of AI systems

Why Work in AI Training

AI training and data-labeling work is a fast-growing part of the technology industry. Human contributors help models learn from carefully prepared examples, expert evaluations, and practical demonstrations, making this an opportunity to influence how emerging AI tools behave.

Remote project work can fit around other commitments, while specialist technical skills can open the door to high-value assignments. Through OpenTrain, you can build a durable portfolio of AI training experience instead of starting from scratch for every opportunity.

• Work remotely with a flexible part-time structure
• Apply software engineering expertise to cutting-edge AI development
• Build a visible portfolio of technical AI training work
• Use OpenTrain to manage opportunities and grow your profile