MCP Expert
Recruitment Room →MCP Expert at Recruitment Room is a contract role based in Remote · Barbados-19 (remote). The listing states pay of $124,800–$249,600 and asks for 0–1 yrs of experience. Listed skills: Python3, Java, Rust, Algorithms, Basics c++ and Typescript. It was published on 26 August 2026 and was open at last check.
| Role | MCP Expert |
|---|---|
| Company | Recruitment Room |
| Location | Remote · Barbados-19 (remote) |
| Employment type | Contract |
| Pay (as listed) | $124,800–$249,600 |
| Experience asked | 0–1 yrs |
| Skills listed | Python3, Java, Rust, Algorithms, Basics c++ and Typescript |
| Published | 26 August 2026 |
| Status | Open at last check |
MCP Expert
Job Type: Contractor
Location: Remote
Openings: 100
Expected Commitment: Approximately 15 hours/week
Schedule: Flexible — choose your own hours and days, including weekends
Compensation: $124,800–$249,600 annualized, based on the stated $60–$120/hour rate at 40 hours/week
About the Opportunity
We are seeking experienced software engineers to help train next-generation AI systems by creating Reinforcement Learning (RL) environments that evaluate how AI models solve complex software engineering problems using Model Context Protocol (MCP) tools.
You will design realistic, reproducible environments where AI agents must discover and reason over information from real MCP servers while completing software engineering tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization.
The work includes developing deterministic verification and golden reference solutions that accurately assess both MCP tool usage and software engineering capability.
What You'll Do
- Create RL environments for evaluating AI agents on complex software engineering tasks.
- Design tasks involving bug fixes, feature development, refactoring, and performance optimization.
- Build environments that require agents to discover and reason over information using real MCP servers.
- Develop reproducible environments with deterministic verification.
- Create golden reference solutions to establish expected task outcomes.
- Design evaluations that measure both software engineering ability and effective use of MCP tools.
- Apply strong engineering judgment to ensure tasks are technically sound and reliably assess model performance.
Requirements
- Proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust.
- Strong understanding of algorithms, data structures, and performance tuning.
- Demonstrated ability to debug complex software issues and deliver maintainable solutions.
- Strong experience with feature development and codebase refactoring.
- Proven ability to optimize software for performance and scalability.
- Exceptional written and verbal communication skills.
- Strong attention to detail.
- Successful experience working in collaborative, cross-functional teams, ideally in remote environments.
Preferred Qualifications
- Experience working with large-scale, distributed codebases.
- Familiarity with AI or machine learning systems.
- Experience participating in rigorous code reviews.
- Background contributing to software engineering best practices.
Compensation & Engagement
- Stated rate: $60–$120/hour.
- Annualized equivalent: $124,800–$249,600 based on 40 hours/week.
- Actual compensation is output-based, with experts paid per task that meets project specifications.
- Task completion times may vary based on experience and workflow.
- Minimum submission requirements apply, including a minimum number of tasks per week.
- Approximately 15 hours/week expected.
Schedule & Start
- Fully remote.
- Flexible schedule — experts choose their working hours and days.
- Weekend work is permitted.
- Roles are typically filled within 48 hours.
- Selected experts are expected to begin their first tasks within 24–48 hours of completing onboarding.
Selection Process
- Submit an application and complete the screening questions.
- Complete an approximately 30-minute AI interview.
- Complete a technical assessment, if required.
- Hiring manager review.
Create a free OnJob profile to apply and see your AI match score before you apply. · Posted 26 Aug 2026.
MCP Expert at Recruitment Room — questions answered
What does the MCP Expert role at Recruitment Room pay?
The MCP Expert at Recruitment Room listing states pay of $124,800–$249,600 for the Remote · Barbados-19 (remote) position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles, and the same listing asks for 0–1 yrs of experience.
Is the MCP Expert role at Recruitment Room remote?
Yes — Recruitment Room advertises this MCP Expert role as remote, tied to Remote · Barbados-19, and it is listed as contract work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Recruitment Room before you apply.
What skills does the MCP Expert role at Recruitment Room require?
The MCP Expert at Recruitment Room listing names Python3, Java, Rust, Algorithms, Basics c++ and Typescript. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
How much experience do you need for the MCP Expert role at Recruitment Room?
Recruitment Room asks for 0–1 yrs of experience on this MCP Expert posting, alongside Python3, Java and Rust. Employers commonly consider candidates slightly under a stated band when the listed skills line up.
Is the MCP Expert role at Recruitment Room still open?
The MCP Expert posting at Recruitment Room was open at OnJob's last check of the employer's careers page, having been published on 26 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the MCP Expert role at Recruitment Room?
Apply to the MCP Expert at Recruitment Room role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile. Creating a profile is free and needs no card.
Explore more on OnJob
Hiring for a role like this?
Post a job on OnJob and reach AI-matched candidates.
