Remote Senior Backend Engineer for AI Training Environments

YO AI Labs; Philadelphia (Philadelphia County); Remote; USD 83,000 - 131,000; Part time

Job summary

YO AI Labs is seeking a Senior Software Engineer on a remote, contractor basis to support an AI training project focused on building reinforcement learning environments for software tasks. The role emphasizes reproducible environments, deterministic verification, and reference solutions for code-related challenges.

The ideal candidate will design tasks around bug fixing, feature development, refactoring, and performance optimization, and will evaluate AI agents’ ability to reason through complex

Qualifications

• Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
• Strong understanding of algorithms and data structures.
• Experience with bug fixing and debugging complex software issues.
• Proven experience in feature implementation and codebase refactoring.
• Strong knowledge of performance optimization and tuning.

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.
• Document solutions and provide clear technical feedback.

Skills

Python 3

Java

Rust

C++

TypeScript

Algorithms and data structures

Bug fixing

Feature implementation

Codebase refactoring

Performance optimization

Communication

Tools

MCP tools

Job description

YO AI Labs is seeking a Senior Software Engineer on a remote, contractor basis to support an AI training project focused on building reinforcement learning environments for software tasks. The role emphasizes reproducible environments, deterministic verification, and reference solutions for code-related challenges.

The ideal candidate will design tasks around bug fixing, feature development, refactoring, and performance optimization, and will evaluate AI agents’ ability to reason through complex