RL Environment Engineer - Remote
YO AI Labs
San Francisco, CA
- Remote job
Job Description
Job Description
Senior Software Engineer
Job Type: Contractor (~15 hours/week)
Location: Remote
We are 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 Model Context Protocol (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.
Key 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.
- 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 .
- Excellent written and verbal communication.
- Strong attention to detail.
- Experience working with large-scale or distributed codebases .
- Familiarity with AI/ML systems is a plus but not required.
- Experience with rigorous code reviews and software engineering best practices .
- Experience working effectively in remote or cross-functional teams.
- Submit an application and screening questions.
- Complete an AI interview (~30 minutes).
- Complete a technical assessment, if required.
- Hiring Manager review.
Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.
AvailabilitySelected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding .
Vacancy posted 12 days ago
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