Remote Senior AI Coding Environments Engineer

YO AI Labs

Houston (TX)

Remote

USD 30,000 - 42,000

Part time

2 days ago
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Job summary

YO AI Labs is seeking a Senior Software Engineer contractor to help build reinforcement learning environments for evaluating AI models on complex software tasks. The role focuses on reproducible environments, deterministic verification, and reference solutions using Model Context Protocol (MCP) tools.

You will design tasks such as bug fixing, feature development, codebase refactoring, and performance optimization, with weekly tasks delivered remotely.

Qualifications

  • Proficiency in Python, 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.
  • 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.
  • Document solutions and provide clear technical feedback.

Skills

Python
Java
Rust
C++
TypeScript
Algorithms & DS
Bug fixing
Refactoring
Performance tuning
Communication

Job description

YO AI Labs is seeking a Senior Software Engineer contractor to help build reinforcement learning environments for evaluating AI models on complex software tasks. The role focuses on reproducible environments, deterministic verification, and reference solutions using Model Context Protocol (MCP) tools.

You will design tasks such as bug fixing, feature development, codebase refactoring, and performance optimization, with weekly tasks delivered remotely.

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