Remote Senior SWE for AI Training Data & Environments

YO AI Labs; Los Angeles (CA); Remote; USD 55,000 - 83,000; Part time

Job summary

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

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

Qualifications

• Proficient in Python 3, Java, Rust, C++, or TypeScript.
• Strong understanding of algorithms and data structures.
• Experience with bug fixing and debugging complex software issues.
• Proven experience in feature implementation and codebase refactoring.
• Strong knowledge of performance optimization and tuning.

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.
• Ensure tasks accurately measure coding ability, problem-solving, and tool usage.

Skills

Languages: Python/Java/Rust/C++/TypeS​

Algorithms & DS

Bug fixing & debugging

Feature implementation & refactoring

Performance optimization

Communication

Attention to detail

Job description

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

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