Remote AI Engineer - Part-Time (15h/wk) for RL

S27a; Northern (KY); Remote; USD 83.000 - 124.000; Teilzeit

Zusammenfassung

S27a is seeking an AI Engineer for a remote contractor role (~15 hrs/week). You will help train next-generation AI systems by creating Reinforcement Learning Environments and testing model learning with MCP tools.

Your work will involve fixing bugs, implementing features, refactoring code, and optimizing performance while ensuring reproducible outcomes. We value domain knowledge and strong software skills over prior AI experience, and you will collaborate with cross-functional teams in a

Qualifikationen

• Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
• Deep understanding of algorithms, data structures, and performance tuning.
• Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
• Strong background in feature development and codebase refactoring.
• Proven ability to optimize software for performance and scalability.
• Exceptional written and verbal communication skills, with a keen attention to detail.
• Track record of success in collaborative, cross‑functional teams, ideally in remote settings.

Aufgaben

• Create Reinforcement Learning Environments testing an AI model’s ability to solve software engineering problems using MCP tools.
• Design reproducible environments, deterministic verification, and golden reference solutions.
• Fix bugs, implement features, refactor code, and optimize performance while ensuring MCP server data is correctly used.

Kenntnisse

Python3

JAVA

Rust

Algorithms

C++ basics

Typescript

bug fixing

feature implementation

codebase refactoring

performance optimization

Jobbeschreibung

S27a is seeking an AI Engineer for a remote contractor role (~15 hrs/week). You will help train next-generation AI systems by creating Reinforcement Learning Environments and testing model learning with MCP tools.

Your work will involve fixing bugs, implementing features, refactoring code, and optimizing performance while ensuring reproducible outcomes. We value domain knowledge and strong software skills over prior AI experience, and you will collaborate with cross-functional teams in a