Help train advanced AI models by building coding test environments, creating reference solutions, and evaluating software engineering work. This remote contractor role offers approximately 15 hours per week and an ideal rate of $50-$100 per hour.
Coding & Software
100% Remote Hourly · $50–$100/hr
$50–$100/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Sep 7, 2026
Posted
Open worldwide
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About AI Training and Code Evaluation
AI training is the human side of building artificial intelligence. Engineers and other specialists create examples, test model behavior, and review outputs so AI systems can solve real-world problems more accurately.
In this role, your software engineering expertise will help create challenging, reproducible coding tasks and reliable reference solutions for models learning to fix defects, build features, refactor systems, and improve performance.
The Role
OpenTrain is recruiting a Software Engineering AI Evaluation Specialist to create reinforcement learning environments that test AI models on complex software engineering problems. You will contribute expert code, debugging strategies, and technical reasoning that can become high-quality training data.
This is a remote, part-time contractor role expected to require approximately 15 hours per week. The listing provides an ideal hourly range of $50-$100 USD and also references output-based task submissions, so applicable compensation terms should be confirmed for the engagement.
Work remotely from anywhere in the world
Contractor engagement with less than 20 hours per week
Ideal hourly compensation range of $50-$100 USD
English-language work
What You'll Do
You will turn realistic software engineering challenges into reproducible environments and golden reference solutions. The work combines hands-on development, complex debugging, technical documentation, and careful review of other contributors' submissions.
Create reproducible environments for software engineering problems
Develop corresponding golden reference solutions
Contribute expert code samples, debugging strategies, and development insights
Analyze complex defects and performance bottlenecks across varied codebases
Implement maintainable features and optimize legacy code for clarity, efficiency, and reliability
Document technical reasoning, solution approaches, and code decisions for AI training data
Review and validate peer-contributed code and technical submissions for accuracy and clarity
Required Skills and Experience
The listing identifies this opportunity as entry level, while the work requires significant hands-on programming experience and the ability to solve complex engineering problems independently. Previous AI experience is not required.
Significant hands-on expertise in at least one of Python3, Java, Rust, Go, C++, or TypeScript
Strong understanding of algorithms, data structures, and software engineering principles
Demonstrated ability to debug complex systems and resolve defects
Ability to deliver effective performance improvements and optimizations
Experience refactoring large or legacy codebases
Ability to explain technical concepts and document engineering decisions clearly
Helpful Background
Experience delivering high-impact features from conception through completion in cross-functional projects is useful. Curiosity about AI systems and their technical challenges can also help you assess how well coding environments measure model capabilities.
End-to-end feature delivery experience
Experience contributing to cross-functional projects
Interest in how AI systems handle technical challenges
Previous AI experience is not required
Why Build Your AI Training Career With OpenTrain
AI training and data labeling are rapidly expanding areas of tech work, with contributors directly shaping how modern AI systems behave. Many projects are remote and flexible, allowing specialists to fit work around other commitments while developing relevant experience.
OpenTrain helps you build a credible AI training portfolio, discover opportunities aligned with your skills, and develop a durable career in this emerging industry.
Contribute to cutting-edge AI development
Work remotely with a flexible part-time schedule
Build a portfolio of software engineering evaluation work
Apply your programming expertise to challenging model assessments
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