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Remote Graduate Software Engineer Jobs in Austin, TX

YO AI Labs

AI Software Engineer - Remote

Austin, TX · 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

Austin, TX · Remote

$121K - $160K/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 ...

YO AI Labs

AI/ML Software Engineer - Remote

Austin, TX · 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 ...

Turing

Remote Software Engineer

Austin, TX · Remote

$200 - $300/hr

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes ...

Cisco

Senior Software Engineer (Remote)

Austin, TX · 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 ...

Turing

Remote Software Engineer - Rust

Austin, TX · Remote

$200 - $300/hr

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes ...

Turing

Remote Software Engineer - C++

Austin, TX · Remote

$200 - $300/hr

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes ...

SHI

Software Engineer

Austin, TX · On-site +1

Job Summary The Software Engineer - AI/ML at SHI International collaborates with cross-functional ... remote or on-site Behaviors and Competencies * Communication: Can effectively communicate complex ...

Hired Recruiters

Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Ideal Candidate * 4+ years of software engineering in a VC backed startup environment or fast paced ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

YO AI Labs

AI Engineer - Remote

Austin, TX · 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 ...

Turing

Remote Software Engineer - Java

Austin, TX · Remote

$200 - $300/hr

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes ...

CDK

Sr. Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

CDK Global, LLC Job Title: Sr. Software Engineer Worksite: 11809 Domain Dr., Suite 200 Austin, TX ... remote teams. Support production issue resolutions per need. Participate in the development ...

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Showing results 1-20

All JobsGraduate Software Engineer JobsRemote Graduate Software Engineer JobsRemote Graduate Software Engineer Jobs in Austin, TX

Remote Graduate Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.7K

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

As of Sep 13, 2026, the average yearly pay for remote graduate software engineer in Austin, TX is $146,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a remote graduate software engineer?

A Remote Graduate Software Engineer job is an entry-level software development role that allows recent graduates to work from a remote location. These engineers collaborate with teams to develop, test, and maintain software applications while gaining hands-on industry experience. They typically use programming languages, frameworks, and tools to contribute to projects under the guidance of senior engineers. Strong problem-solving skills, adaptability, and communication are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote graduate software engineer?

To thrive as a Remote Graduate Software Engineer, you need a solid understanding of programming fundamentals, algorithmic problem-solving, and a relevant degree in computer science or software engineering. Familiarity with version control tools like Git, cloud-based development platforms, and exposure to languages such as Python, Java, or JavaScript are highly valued, with some employers appreciating certifications in specific technologies. Strong communication skills, self-motivation, and the ability to collaborate effectively with distributed teams differentiate top candidates. These attributes ensure you can deliver high-quality software, adapt to remote workflows, and contribute productively to your team and projects.

What are some challenges I might face as a remote graduate software engineer, and how can I overcome them?

As a Remote Graduate Software Engineer, you may face challenges such as staying self-motivated, adapting to asynchronous communication with your team, and managing time effectively without direct supervision. It's important to establish a structured daily routine, proactively reach out to colleagues for support, and leverage project management tools to keep track of your tasks and progress. Engaging regularly in team meetings and utilizing collaboration platforms helps you stay connected and continuously learn from peers. Embracing these strategies will enable you to overcome initial hurdles and build confidence as you grow in your role.

Can remote graduate software engineer jobs be remote?

Remote graduate software engineer jobs are typically fully remote, allowing candidates to work from any location with internet access. These roles often require proficiency with collaboration tools and remote communication skills, and some companies may have specific time zone or availability requirements.

Is 25 too late to become a remote graduate software engineer?

Age is not a barrier to becoming a remote graduate software engineer; many employers value skills, experience, and the ability to learn over age. Candidates typically need a relevant degree or coding skills, and some companies may prefer recent graduates, but starting at 25 is common and feasible with proper training and portfolio development.

What are popular job titles related to Remote Graduate Software Engineer jobs in Austin, TX?

For Remote Graduate Software Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Graduate Software Engineer jobs in Austin, TX look for?

The top searched job categories for Remote Graduate Software Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Graduate Software Engineer jobs?

Cities near Austin, TX with the most Remote Graduate Software Engineer job openings:

Remote Graduate Software Engineer jobs near you
Infographic showing various Remote Graduate Software Engineer job openings in Austin, TX as of September 2026, with employment types broken down into 4% Internship, 64% Full Time, 23% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $146,227 per year, or $70.3 per hour.

AI Software Engineer - Remote

Austin, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 17 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.