Remote Senior Software Engineer – AI Training Environments

YO AI Labs

Los Angeles (CA)

Remote

USD 83,000 - 124,000

Part time

3 days ago
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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 tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for bug fixing, feature implementation, codebase refactoring, and performance optimization.

No prior AI experience is required.

Qualifications

  • Proven experience with at least one of Python 3, Java, Rust, C++, or TypeScript.
  • Strong knowledge of algorithms and data structures.
  • Experience debugging complex software issues.
  • Experience in feature implementation and codebase refactoring.
  • Strong performance optimization and tuning knowledge.
  • Excellent written and verbal communication.
  • Ability to work in remote or distributed teams.

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
Code refactoring
Performance optimization
Communication
Attention to detail

Tools

MCP tools

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 tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for bug fixing, feature implementation, codebase refactoring, and performance optimization.

No prior AI experience is required.

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