Senior Software Engineer, AI Training Environments (Remote)

YO AI Labs; Dallas (TX); Remote; USD 83,000 - 131,000; Part time

Job summary

YO AI Labs is seeking Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Qualifications

• Experience designing reinforcement learning environments for software tasks.
• Ability to build deterministic verification and reference solutions.
• Strong communication and documentation skills.

Responsibilities

• Create reinforcement learning environments for software engineering tasks.
• Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
• Build deterministic verification systems and golden reference solutions.
• Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
• Develop realistic, reproducible software engineering scenarios.
• Document solutions and provide clear technical feedback.

Skills

Python

Java

Rust

C++

TypeScript

Algorithms

Bug fixing

Code refactoring

Job description

YO AI Labs is seeking Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.