Senior AI Software Engineer - Remote RL Environments

YO AI Labs

Atlanta (GA)

Remote

USD 55,000 - 110,000

Part time

3 days ago
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Job summary

YO AI Labs is seeking a Senior Software Engineer contractor to join an AI training project. You will create reinforcement learning environments that evaluate AI models on software engineering tasks using MCP tools, focusing on reproducible environments and deterministic verification.

The role emphasizes bug fixing, feature implementation, refactoring, and performance optimization across large codebases. Remote work with ~15 hours per week and minimal onboarding timeline.

Qualifications

  • Experience designing reinforcement learning environments for software tasks.
  • Strong proficiency in Python, Java, Rust, C++, or TypeScript.
  • Experience with bug fixing and debugging complex software issues.
  • Proven ability to implement features and refactor large codebases.
  • 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 using MCP tools.
  • Develop realistic, reproducible software engineering scenarios.
  • Document solutions and provide clear technical feedback.

Skills

Python
Java
Rust
C++
TypeScript
Algorithms & DS
Bug fixing
Feature implementation
Code refactoring
Performance optimization
Communication
Attention to detail

Tools

MCP tools

Job description

YO AI Labs is seeking a Senior Software Engineer contractor to join an AI training project. You will create reinforcement learning environments that evaluate AI models on software engineering tasks using MCP tools, focusing on reproducible environments and deterministic verification.

The role emphasizes bug fixing, feature implementation, refactoring, and performance optimization across large codebases. Remote work with ~15 hours per week and minimal onboarding timeline.

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