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Remote Expedia Software Engineer Jobs in Valencia, CA

YO AI Labs

AI Software Engineer - Remote

Los Angeles, CA · 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 ...

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Clerkie

Software Engineer Internship

Los Angeles, CA · On-site +1

$80/hr

A note before you apply We're hiring Software Engineering Interns! This is a full-time (40+ hours a ... Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ...

New

YO AI Labs

AI Engineer - Remote

Los Angeles, CA · 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 ...

Future Engineers, LLC

Sr. Software Engineer

Burbank, CA · Remote

$80 - $120/hr

Future Engineers is looking for a Senior Software Engineer to contract on current and future ... This is a remote position and anticipated to be 10-20 hours per week. Only US-based developers will ...

OpenPlay

Software Engineer

Santa Monica, CA · On-site +1

This is a full-time position that can be local (Los Angeles) or fully remote. What's an OpenPlay? W ... We strive to make well engineered software that looks great and is friendly to use. We're ...

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All JobsExpedia Software Engineer JobsRemote Expedia Software Engineer JobsRemote Expedia Software Engineer Jobs in Valencia, CA

Remote Expedia Software Engineer information

See Valencia, CA salary details

$64.3K

$149.4K

$208.1K

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

As of Aug 31, 2026, the average yearly pay for remote expedia software engineer in Valencia, CA is $149,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $175,200.00 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 Valencia, CA?

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

What cities near Valencia, CA are hiring for Remote Expedia Software Engineer jobs?

Cities near Valencia, CA with the most Remote Expedia Software Engineer job openings:

Remote Expedia Software Engineer jobs near you
Infographic showing various Remote Expedia Software Engineer job openings in Valencia, CA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $149,392 per year, or $71.8 per hour.

AI Software Engineer - Remote

YO AI Labs

Los Angeles, CA • Remote

$80 - $120/hr

Full-time

Posted 4 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.