Remote Senior Full-Stack Engineer for AI Training Tasks

YO AI Labs

New York (NY)

Remote

USD 69,000 - 138,000

Part time

4 days ago
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Job summary

YO AI Labs invites experienced Senior Software Engineers to join a remote contractor project focused on creating reinforcement learning environments for evaluating AI models on complex software tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization.

No prior AI experience required.

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 & DS
Bug fixing
Code refactoring
Performance optimization
Communication

Job description

YO AI Labs invites experienced Senior Software Engineers to join a remote contractor project focused on creating reinforcement learning environments for evaluating AI models on complex software tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization.

No prior AI experience required.

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