AI Training Engineer for Software Tasks (Remote)

YO AI Labs

Miami (FL)

Remote

USD 83,000 - 138,000

Part time

14 days+
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Job summary

YO AI Labs is seeking Senior Software Engineers to create reinforcement learning environments for software engineering tasks using the Model Context Protocol tools. Work involves designing reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature implementation, codebase refactoring, and performance optimization.

No prior AI experience required. The role focuses on building challenging, reproducible code scenarios, evaluating AI agents’

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.
  • Document solutions and provide clear technical feedback.

Skills

Python
Java
Rust
C++
TypeScript
Algorithms
Debugging
Refactoring
Performance tuning
Communication

Job description

YO AI Labs is seeking Senior Software Engineers to create reinforcement learning environments for software engineering tasks using the Model Context Protocol tools. Work involves designing reproducible environments, deterministic verification, and reference solutions for tasks like bug fixing, feature implementation, codebase refactoring, and performance optimization.

No prior AI experience required. The role focuses on building challenging, reproducible code scenarios, evaluating AI agents’

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