[Hiring] MCP Expert @RemoteJobsOne

Role Description

This is a fully remote position, open to candidates based in Canada.

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

• Create Reinforcement Learning Environments to test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools.
• Tasks may involve:
  • Fixing bugs
  • Implementing features
  • Refactoring code
  • Optimizing performance
• Design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.

Qualifications

• Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
• Deep understanding of algorithms, data structures, and performance tuning.
• Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
• Strong background in feature development and codebase refactoring.
• Proven ability to optimize software for performance and scalability.
• Exceptional written and verbal communication skills, with a keen attention to detail.
• Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Requirements

• Previous experience working on large-scale, distributed codebases (preferred).
• Familiarity with modern AI or machine learning systems is a plus, though not required.
• Background in participating in rigorous code reviews and contributing to the development of software best practices.

Process

• Apply to the role, filling out the screening questions.
• Complete AI Interview (approx. 30 minutes).
• Technical Assessment (Tentative).
• Hiring Manager review.

Compensation Structure

• Compensation is output-based; experts are paid per task that meets the project specifications.
• The time required to complete work may vary depending on the expert’s experience and workflow.
• Minimum submission requirements apply; experts must submit a minimum of tasks per week.

Start Timeline & Availability

• We typically fill roles within 48 hours and are looking for experts ready to jump in right away.
• If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

How to apply

Apply here with your Indeed profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.