Remote Senior SWE for AI Training Data & RL Environments

YO AI Labs; Washington (District of Columbia); Remote; USD 83,000 - 152,000; Part time

Benefits offered by this job

Remote work

Contractor (~15 hours/week)

Job summary

YO AI Labs is seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Qualifications

• Experience building reinforcement learning environments for software tasks.
• Proficiency in multiple languages and strong CS fundamentals.
• Ability to design deterministic verification and reference solutions.

Responsibilities

• Create reinforcement learning environments for software engineering tasks.
• Design tasks covering bug fixing, feature development, refactoring, and optimization.
• Build deterministic verification systems and golden references.
• Evaluate AI agents' reasoning on complex codebases using MCP tools.
• Develop realistic, reproducible software engineering scenarios.
• Document solutions and provide technical feedback.

Skills

Python

Java

Rust

C++

TypeScript

Algorithms

Bug fixing

Refactoring

Performance optimization

Code reviews

Communication

Job description

YO AI Labs is seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using MCP tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.