About this opportunity
OpenTrain AI, Inc. lists this Software Engineer AI Code Evaluation opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
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
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.