Senior Software Engineer - Remote AI RL Task Environments

RemoteJobsOne; Ciudad de México; A distancia; MXN 1.255.000 - 2.509.000; A tiempo parcial

Descripción de la vacante

RemoteJobsOne is seeking a Senior Software Engineer contractor to help shape AI training environments. You will design realistic coding tasks for frontier AI models, and build reproducible environments and verifiable reference solutions.

The work centers on creating challenging problems that exercise deep software engineering skills, debugging, and optimizing performance, often across large codebases. The role emphasizes high-quality, real-world input to improve model learning, reasoning, and

Formación

• Significant hands-on expertise in at least one of Python3, Java, Rust, Go, or TypeScript.
• Deep understanding of algorithms, data structures, and software engineering principles.
• Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
• Experience with large codebase refactoring and legacy system modernization.
• Track record of delivering high-impact features from conception through delivery within cross-functional projects.
• Strong documentation and communication skills to articulate technical concepts clearly.
• Interest in or curiosity about AI and its technical challenges (previous AI experience not required).

Responsabilidades

• On this project, create realistic, interesting, and extremely challenging coding tasks for frontier AI models using favourite repositories.
• Design problems that require strong software engineering skills, such as tracking down subtle bugs, building non-trivial features, or improving performance.
• Define the problem, build a reproducible environment, and write deterministic verifiers that accept correct solutions across different valid implementations while rejecting incorrect or hard-coded approaches; provide a reference solution.

Conocimientos

Python3

Java

Rust

Go

TypeScript

Descripción del empleo

RemoteJobsOne is seeking a Senior Software Engineer contractor to help shape AI training environments. You will design realistic coding tasks for frontier AI models, and build reproducible environments and verifiable reference solutions.

The work centers on creating challenging problems that exercise deep software engineering skills, debugging, and optimizing performance, often across large codebases. The role emphasizes high-quality, real-world input to improve model learning, reasoning, and