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AI coding agents Expert - Remote

Build reproducible reinforcement learning environments for software engineering tasks

Design reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol tools. Create deterministic verification systems and golden reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. Develop realistic, reproducible software engineering scenarios that accurately measure coding ability, problem-solving, and too...

Why This Role?

Compensation is output-based, with payment provided per task that meets project specifications

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
  • Document solutions and provide clear technical feedback

Requirements

  • 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

Required Skills

pythonjavarustc++typescriptalgorithmsdebugging
View Original Description from Jobg8 (United States)

Original description from Jobg8 (United States)

New York City, New York (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 .

Salary Context

Similar Engineering roles on LokerDollar pay around $170k/yr (range $855–1000k/yr, n=877 active listings).

Hiring at YO AI Labs

YO AI Labs has 7 other active roles on LokerDollar and has been hiring here since Aug 26, 2026 — across Engineering, Operations.

View all YO AI Labs openings →

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Company
YO AI Labs
Job Type
full time
Location
Remote · United States
Category
Seniority
senior
PostedNewNew & verified
Sep 12, 2026

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Frequently asked questions

Is AI coding agents Expert - Remote at YO AI Labs a remote job?
Yes, this is a regional remote role (Remote). Check the listing for location requirements.
What type of employment is AI coding agents Expert - Remote at YO AI Labs?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at YO AI Labs.

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