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Remote Expedia Software Engineer Jobs in Round Rock, TX

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 ...

The Role: We're looking for a Staff Software Engineer to join our small but growing engineering ... Hybrid / Remote Flexibility * Flexible PTO and Work Hours * 401(k) RealWork is an Equal Opportunity ...

The Software Team is seeking a Staff Software Engineer to help bridge the gap between complex ... Our people-first culture and global support system, including the remote work option and Employee ...

The Software Team is seeking a Staff Software Engineer to help bridge the gap between complex ... Our people-first culture and global support system, including the remote work option and Employee ...

The Software Team is seeking a Staff Software Engineer to help bridge the gap between complex ... Our people-first culture and global support system, including the remote work option and Employee ...

The Software Team is seeking a Staff Software Engineer to help bridge the gap between complex ... Our people-first culture and global support system, including the remote work option and Employee ...

As a Software Engineer, CICD you will integrate tightly with teams across the company, and span all ... This includes remote caching, remote execution, target identification and selection, etc. * Operate ...

The Software Team is seeking a Staff Software Engineer to help bridge the gap between complex ... Our people-first culture and global support system, including the remote work option and Employee ...

Senior Software Engineer I

Austin, TX · Remote

$121K - $160K/yr

Our engineering team releases new software every week, moves at a fast pace, and works directly ... AWS We are a remote-first development organization that values flexibility in how our teams work.

Showing results 21-40

Remote Expedia Software Engineer information

See Round Rock, TX salary details

$59.2K

$137.6K

$191.6K

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

As of Sep 5, 2026, the average yearly pay for remote expedia software engineer in Round Rock, TX is $137,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $161,300.00 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 Round Rock, TX?

For Remote Expedia Software Engineer jobs in Round Rock, TX, the most frequently searched job titles are:

What job categories do people searching Remote Expedia Software Engineer jobs in Round Rock, TX look for?

The top searched job categories for Remote Expedia Software Engineer jobs in Round Rock, TX are:

What cities near Round Rock, TX are hiring for Remote Expedia Software Engineer jobs?

Cities near Round Rock, TX with the most Remote Expedia Software Engineer job openings:

RL Environment Engineer - Remote

YO AI Labs

Austin, TX • Remote

$80 - $120/hr

Full-time

Posted 8 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.