Remote Senior Software Engineer - RL Code Environments

YO AI Labs; California (MO); Remote; USD 54,000 - 75,000; Part time

Job summary

YO AI Labs seeks a Senior Software Engineer to craft reinforcement learning environments for software tasks using MCP tools. This remote contractor role focuses on reproducible scenarios, deterministic verification, and reference solutions for bug fixing, feature work, refactoring, and performance tuning.

Ideal candidates bring fluency in multiple languages (Python/Java/Rust/C++/TypeScript), strong algorithms knowledge, and proven debugging and code-improvement experience.

Qualifications

• Strong proficiency 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.
• Excellent written and verbal communication.
• Strong attention to detail.

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.
• Document solutions and provide clear technical feedback.

Skills

Python 3

Java

Rust

C++

TypeScript

Algorithms & DS

Bug fixing

Feature implementation

Code refactoring

Performance optimization

Communication

Attention to detail

Job description

YO AI Labs seeks a Senior Software Engineer to craft reinforcement learning environments for software tasks using MCP tools. This remote contractor role focuses on reproducible scenarios, deterministic verification, and reference solutions for bug fixing, feature work, refactoring, and performance tuning.

Ideal candidates bring fluency in multiple languages (Python/Java/Rust/C++/TypeScript), strong algorithms knowledge, and proven debugging and code-improvement experience.