Remote Senior Software Engineer for AI RL Environments

YO AI Labs

Washington (District of Columbia)

Remote

USD 124,000 - 193,000

Part time

3 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 for software tasks, using MCP tools. This remote, part-time role focuses on reproducible scenarios and deterministic verification to evaluate AI models.

Responsibilities include designing tasks like bug fixing, feature development, refactoring, and performance optimization; building reference solutions; and documenting results with clear technical

Qualifications

  • 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.

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

Job description

YO AI Labs is seeking a Senior Software Engineer (contractor) to support an AI training project by creating reinforcement learning environments for software tasks, using MCP tools. This remote, part-time role focuses on reproducible scenarios and deterministic verification to evaluate AI models.

Responsibilities include designing tasks like bug fixing, feature development, refactoring, and performance optimization; building reference solutions; and documenting results with clear technical

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