Senior Open-Source AI Training Engineer (Remote)

RemoExperts

United States

Remoto

USD 69.000 - 138.000

Tempo pieno

8 giorni fa
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

AI Trainer Jobs is seeking senior engineers to help train AI systems on real code. You will create reinforcement-learning environments from real repositories, with reproducible setups and reference solutions.

Responsibilities include building tasks from real repos to test bug fixes, features, refactors, and performance improvements, and ensuring reproducible environments with reference solutions. The role requires 3+ years of software engineering, strong open-source contributions, and fluency in

Competenze

  • Proven open-source contributions on GitHub or GitLab.
  • Minimum 3+ years software engineering experience.
  • Strong proficiency in Python, Java, Rust, Go, C++ or TypeScript.
  • Experience with Git, Docker and automated testing.
  • Fluent written English.
  • Remote-friendly, reliable and detail-oriented, able to meet deadlines.

Mansioni

  • Build tasks from real repositories that test whether an AI model can fix bugs, add features, refactor and improve performance.
  • Provide a reproducible environment and a reference solution for each task.
  • Investigate and resolve difficult defects and performance bottlenecks in varied code bases.
  • Refactor legacy code for clarity, efficiency and long-term reliability.
  • Write up your technical reasoning and code decisions to raise training-data quality.
  • Follow project guidelines, participate in calibration and review sessions, and incorporate feedback to maintain quality.

Conoscenze

Open-source contributions
Software engineering
Python/Java/Rust/Go/C++/TypeScript
Git & Docker & testing
English proficiency
Remote work

Strumenti

Git
Docker
Automated testing

Descrizione del lavoro

AI Trainer Jobs is seeking senior engineers to help train AI systems on real code. You will create reinforcement-learning environments from real repositories, with reproducible setups and reference solutions.

Responsibilities include building tasks from real repos to test bug fixes, features, refactors, and performance improvements, and ensuring reproducible environments with reference solutions. The role requires 3+ years of software engineering, strong open-source contributions, and fluency in

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