Senior AI Software Engineer (Remote) - Contract, 15h/wk

YO AI Labs

Dallas (TX)

Remote

USD 40,000 - 65,000

Part time

13 days ago
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Job summary

YO AI Labs is seeking a Senior Software Engineer contractor to support an AI training project by creating reinforcement learning environments that evaluate models on complex software tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for bug fixing, feature development, refactoring, and performance optimization, with tasks delivered on a per-task basis.

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.

Skills

Python 3
Java
Rust
C++
TypeScript
Algorithms & DS
Bug fixing
Code refactoring
Performance tuning
Communication
Detail-oriented

Job description

YO AI Labs is seeking a Senior Software Engineer contractor to support an AI training project by creating reinforcement learning environments that evaluate models on complex software tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for bug fixing, feature development, refactoring, and performance optimization, with tasks delivered on a per-task basis.

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