Remote AI Training Engineer for RL Software Tasks

YO AI Labs

Maryland

Remote

USD 69.000 - 165.000

Teilzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

YO AI Labs is seeking a Senior Software Engineer to design reinforcement learning environments for software engineering tasks. You will build reproducible, deterministic verification and reference solutions, focusing on bug fixing, feature development, refactoring, and performance optimization.

Remote work with a ~15 hours/week commitment, no prior AI experience required. Key responsibilities include creating RL environments, evaluating AI agents on complex codebases, and documenting solutions

Qualifikationen

  • Experience designing reinforcement learning environments is a plus.
  • Ability to design reproducible environments and deterministic verification.
  • Proven track record in software engineering tasks (bug fixing, feature implementation, refactoring).

Aufgaben

  • 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 codebases using MCP tools.
  • Develop realistic, reproducible software engineering scenarios.
  • Document solutions and provide clear technical feedback.

Kenntnisse

Python 3
Java
Rust
C++
TypeScript
Algorithms & data structures
Bug fixing
Code refactoring
Performance optimization
Code reviews
Communication

Jobbeschreibung

YO AI Labs is seeking a Senior Software Engineer to design reinforcement learning environments for software engineering tasks. You will build reproducible, deterministic verification and reference solutions, focusing on bug fixing, feature development, refactoring, and performance optimization.

Remote work with a ~15 hours/week commitment, no prior AI experience required. Key responsibilities include creating RL environments, evaluating AI agents on complex codebases, and documenting solutions

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