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Remote Fresh Graduate Software Engineer Jobs in Burleson, TX

AI Trainer - Remote

Dallas, TX ยท 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 ...

Backend Developer - Remote

Dallas, TX ยท 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 ...

ENGR SR SOFTWARE DEVT

Dallas, TX ยท Remote

$121K - $159K/yr

Senior Software Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

ENGR SR SOFTWARE DEVT

Dallas, TX ยท Remote

$121K - $159K/yr

Senior Software Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

Principal Software Engineer (Python)

Dallas, TX ยท On-site +1

$133K - $179K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and testing of complex software systems and applications. This senior-level position is responsible for ...

... fresh ideas. You'll find belonging, purpose, and a team that welcomes you--because when you feel ... We are looking for a skilled Software Engineer to design, build, and maintain scalable systems and ...

AI Technical Trainer - Remote

Dallas, TX ยท 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 ...

Software Integration Lead - 5G CORE

Arlington, TX ยท Remote

$93K - $126K/yr

... remote SIM provisioning workflows, and profile lifecycle management across satellite and ground ... Lead and mentor a small integration engineering team (2-4 engineers); set delivery cadence and ...

... remote SIM provisioning workflows, and profile lifecycle management across satellite and ground ... Lead and mentor a small integration engineering team (2-4 engineers); set delivery cadence and ...

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... SDET teams to improve test automation coverage and quality engineering practices across Agile ...

Showing results 41-60

Remote Fresh Graduate Software Engineer information

See Burleson, TX salary details

$55.8K

$129.7K

$180.6K

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

As of Sep 3, 2026, the average yearly pay for remote fresh graduate software engineer in Burleson, TX is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $152,100.00 per year, depending on experience, location, and employer.

What is a remote fresh graduate software engineer?

A Remote Fresh Graduate Software Engineer is a recent university graduate who works in software development from a location outside of the traditional office, often from home or a co-working space. These engineers typically have a degree in computer science or a related field and are starting their careers with entry-level roles. They collaborate with teams using digital communication tools and contribute to designing, developing, and testing software solutions. Remote positions offer flexibility and can provide opportunities to work with companies worldwide, even for those just starting out.

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

To thrive as a Remote Fresh Graduate Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically backed by a degree in computer science or a related field. Familiarity with version control systems like Git, cloud platforms, and common programming languages such as Python, Java, or JavaScript is expected. Strong communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote environment. These skills and qualities enable you to deliver reliable code, contribute to team projects, and adapt to the demands of remote software development.

What are some common challenges faced by remote fresh graduate software engineers and how can they be addressed?

Remote fresh graduate software engineers often encounter challenges such as limited face-to-face mentorship, difficulty in building professional relationships, and staying motivated without in-person supervision. To address these, it's important to proactively communicate with your team using collaboration tools, seek regular feedback, and participate in virtual team meetings or coding sessions. Setting a structured daily routine and reaching out to a mentor or buddy within the company can also help ease the transition and promote continuous learning.

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

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

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

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

Infographic showing various Remote Fresh Graduate Software Engineer job openings in Burleson, TX as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

AI Trainer - Remote

YO AI Labs

Dallas, TX โ€ข Remote

$80 - $120/hr

Full-time

Posted 6 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.