Senior Software Engineer, AI Training Environments – Remote

YO AI Labs

Phoenix (AZ)

Remote

USD 46,000 - 68,000

Part time

2 days ago
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Job summary

YO AI Labs is seeking a Senior Software Engineer (Contractor) to create reinforcement learning environments for evaluating AI models on complex software tasks using MCP tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature development, refactoring, and performance optimization.

Strong proficiency in Python, Java, Rust, C++, or TypeScript, plus solid algorithms and data structures knowledge, is required.

Qualifications

  • Strong 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.
  • 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 & data structures
Bug fixing
Feature implementation
Codebase refactoring
Performance optimization
Communication
Attention to detail

Job description

YO AI Labs is seeking a Senior Software Engineer (Contractor) to create reinforcement learning environments for evaluating AI models on complex software tasks using MCP tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature development, refactoring, and performance optimization.

Strong proficiency in Python, Java, Rust, C++, or TypeScript, plus solid algorithms and data structures knowledge, is required.

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