Y
AI Engineer - Remote
YO AI Labs
3 hours ago
Full-time
On-site
Boston, Massachusetts, United States
Job Description Job DescriptionSenior Software Engineer
Job Type:
Contractor (~15 hours/week) Location:
Remote Job Summary
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. Required Skills
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. Preferred Qualifications
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. Hiring Process
Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation
Compensation is
output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability
Selected experts should be prepared to begin their first tasks within
24–48 hours of completing onboarding .
Job Type:
Contractor (~15 hours/week) Location:
Remote Job Summary
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. Required Skills
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. Preferred Qualifications
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. Hiring Process
Submit an application and screening questions. Complete an AI interview (~30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation
Compensation is
output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability
Selected experts should be prepared to begin their first tasks within
24–48 hours of completing onboarding .