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Model Context Protocol Jobs in Canton, GA (NOW HIRING)

YO AI Labs

AI Technical Trainer - Remote

Atlanta, GA · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

YO AI Labs

AI coding agents Expert - Remote

Atlanta, GA · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

Zeta Global

Principal Product Manager

Atlanta, GA

Oversee the registration, documentation, governance, and discoverability of Model Context Protocol servers, tools, agents, and platform capabilities. Ensure capabilities are easy for both developers ...

Zeta Global

Principal Product Manager

Atlanta, GA · On-site

Oversee the registration, documentation, governance, and discoverability of Model Context Protocol servers, tools, agents, and platform capabilities. Ensure capabilities are easy for both developers ...

Floor & Decor Holdings, Inc.

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

MCP (Model Context Protocol) or other tool-calling/function-calling patterns for LLM-to-system integrations. * AI-specific failure and risk modes - hallucination, prompt injection, data leakage, non ...

Floor & Décor

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

MCP (Model Context Protocol) or other tool-calling/function-calling patterns for LLM-to-system integrations. * AI-specific failure and risk modes - hallucination, prompt injection, data leakage, non ...

New Relic

Manager, Software Engineering

Atlanta, GA · Remote

Familiarity with AI tools/LLMs (Claude, GitHub Copilot, ChatGPT) for automated operational analysis and remediation, or exposure to open standards like Model Context Protocol (MCP). * Observability ...

Socket.dev

AI Solution Engineer

Atlanta, GA · On-site

$125 - $150/hr

Familiarity with emerging integration standards such as Model Context Protocol. * Experience with AI evaluation, guardrails, monitoring or observability. * Strong understanding of API concepts ...

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Model Context Protocol information

See Canton, GA salary details

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How much do model context protocol jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for model context protocol in Canton, GA is $29.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $37.02 per hour, depending on experience, location, and employer.

What is the difference between Model Context Protocol vs Data Analyst?

AspectModel Context ProtocolData Analyst
Required CredentialsKnowledge of data modeling, API protocols, and software developmentBachelor's degree in statistics, mathematics, or related field
Work EnvironmentTechnical teams, software development, AI/ML projectsBusiness intelligence, reporting, data visualization
Industry UsageTech, AI, software developmentFinance, marketing, healthcare, business
Search & Comparison IntentUnderstanding technical protocols for AI modelsAnalyzing data for insights and decision-making

The Model Context Protocol focuses on technical data exchange and AI model integration, requiring programming and API knowledge. In contrast, Data Analysts interpret data to generate reports and insights, often working with business tools. Both roles involve data but serve different functions within organizations.

What cities near Canton, GA are hiring for Model Context Protocol jobs?

Cities near Canton, GA with the most Model Context Protocol job openings:

Model Context Protocol jobs near you

AI Technical Trainer - Remote

YO AI Labs

Atlanta, GA • Remote

$80 - $120/hr

Full-time

Posted 11 days ago

Job description

Senior 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
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. 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.