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Remote Expedia Software Engineer Jobs in Mesa, AZ

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 ...

New

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 ...

New

Software Engineer

Phoenix, AZ · Remote

$110K - $135K/yr

Other Employee Perks Job Type: * Full-Time * Remote Compensation: * $110k - $135k DOE Required ... Software Design Engineering Communication $ 110,000.00 - 135,000.00 (US Dollar) Package Details:

GitKraken Software Engineer: The AI Problem Solver The Company GitKraken is the developer ... This role combines the flexibility of remote work with the benefits of meaningful in-person ...

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops software using Cisco's Design Thinking Principles, with simplification and Security at its core. We use ...

AI Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

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 ...

New

Senior Software Engineer

Scottsdale, AZ · Remote

$137K - $257K/yr

Senior Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia specializes in making brands better through the power of travel. The company is a merger of three powerhouse ...

Senior Software Engineer

Phoenix, AZ · Remote

$121K - $160K/yr

... remote data via SOAP, REST and JSON * 4+ years of experience in software development, with a focus ... , DevOps concepts Desired Qualifications: * Excellent verbal, written, and interpersonal ...

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Remote Expedia Software Engineer information

See Mesa, AZ salary details

$63K

$146.4K

$203.9K

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

As of Aug 28, 2026, the average yearly pay for remote expedia software engineer in Mesa, AZ is $146,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $171,600.00 per year, depending on experience, location, and employer.

Does Expedia offer remote work?

Expedia offers remote work opportunities for certain software engineering roles, allowing employees to work from home or other remote locations. These positions often require familiarity with collaboration tools and remote communication skills. Availability of remote work may vary by role and team needs.

Does Expedia pay well?

Expedia Software Engineers typically receive competitive salaries that align with industry standards for tech roles, often supplemented with benefits such as bonuses and stock options. Compensation can vary based on experience, location, and skill set, with remote positions often offering salary ranges comparable to on-site roles in similar markets.

What are popular job titles related to Remote Expedia Software Engineer jobs in Mesa, AZ?

For Remote Expedia Software Engineer jobs in Mesa, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Expedia Software Engineer jobs in Mesa, AZ look for?

The top searched job categories for Remote Expedia Software Engineer jobs in Mesa, AZ are:

What cities near Mesa, AZ are hiring for Remote Expedia Software Engineer jobs?

Cities near Mesa, AZ with the most Remote Expedia Software Engineer job openings:

AI Software Engineer - Remote

YO AI Labs

Phoenix, AZ • Remote

$80 - $120/hr

Full-time

Posted yesterday

New


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.