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Remote Mcdonalds Software Engineer Jobs (NOW HIRING)

YO AI Labs

AI Software Engineer Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

YO AI Labs

AI Software Engineer Expert - Remote

Miami, FL · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

YO AI Labs

AI Software Engineer Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

YO AI Labs

AI Software Engineer Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

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Remote Mcdonalds Software Engineer information

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How much do remote mcdonalds software engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote mcdonalds software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.
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Remote Mcdonalds Software Engineer jobs near you
Infographic showing various Remote Mcdonalds Software Engineer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

AI Software Engineer - Remote

YO AI Labs

Philadelphia, PA • Remote

$80 - $120/hr

Full-time

Posted 10 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.