Evaluate how AI models solve complex software engineering problems by designing reproducible reinforcement learning environments, verification systems, and coding tasks. Remote, part-time contractor work pays $50–$100 per hour for less than 20 hours weekly.
Coding & Software
$50–$100/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jul 23, 2026
Posted
Open worldwide
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover specialized projects, build a credible AI training profile, and apply for opportunities that support long-term growth. Creating an OpenTrain account is free.
AI training is the human side of building modern artificial intelligence. Experts create tasks, review model behavior, and define reliable standards so AI systems can solve real-world problems more accurately and safely.
This fully remote work offers a flexible way to contribute to cutting-edge AI development while applying skills from software engineering and technical problem-solving.
OpenTrain is seeking a Software Engineering Reinforcement Learning Environment Evaluator to support AI training focused on software engineering model evaluation. You will create environments that measure how AI models solve complex engineering problems and use Model Context Protocol tools effectively.
Prior AI training experience is not required. Strong real-world software engineering knowledge is the most important qualification for this role. This is an entry-level, part-time contractor opportunity available worldwide for English-speaking contributors.
You will design reproducible environments, deterministic verification systems, and golden reference solutions that provide consistent assessments of software engineering ability. Your work will help make AI model evaluations precise, repeatable, and meaningful.
Assignments may involve working with real MCP servers, creating tasks that require models to discover and reason over information, and documenting evaluation criteria that other reviewers and engineers can apply consistently.
You should be proficient in at least one of C++, Python, Java, Go, TypeScript, or Rust. The role requires strong software engineering judgment and the ability to apply core engineering principles to complex evaluation environments.
Experience with large-scale or distributed codebases, rigorous code review, software best practices, or modern AI and machine learning systems is helpful but not required.
Every major AI system depends on people who prepare examples, evaluate outputs, and define what good performance looks like. In this role, your engineering expertise will directly shape how AI models reason about software development and interact with technical tools.
OpenTrain helps you build a durable AI training portfolio by giving you a place to showcase relevant experience, discover projects aligned with your skills, and grow in a rapidly expanding field.
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