Remote Senior Backend Engineer for AI Training Tasks

YO AI Labs

Palo Alto (CA)

Remote

USD 83,000 - 124,000

Full time

13 days ago

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Job summary

YO AI Labs seeks a Senior Software Engineer to support an AI training project by building reinforcement learning environments that evaluate models on complex software tasks using MCP tools. This contract role is remote and ~15 hours per week.

You will design reproducible environments, deterministic verification, and reference solutions for bug fixing, feature development, refactoring, and performance optimization, with emphasis on documentation and coding discipline.

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 3
Java
Rust
C++
TypeScript
Algorithms

Job description

YO AI Labs seeks a Senior Software Engineer to support an AI training project by building reinforcement learning environments that evaluate models on complex software tasks using MCP tools. This contract role is remote and ~15 hours per week.

You will design reproducible environments, deterministic verification, and reference solutions for bug fixing, feature development, refactoring, and performance optimization, with emphasis on documentation and coding discipline.

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