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Remote Software Contractor Jobs in Houston, TX (NOW HIRING)

micro1 AI

AI Software Engineering Consultant

Houston, TX · Remote

$100 - $230/hr

Contractor (10-15 hours per week) Location: Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software ...

micro1 AI

Software Engineer - AI Trainer

Houston, TX · Remote

$100 - $230/hr

Contractor (10-15 hours per week) Location: Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software ...

Liveops

Remote Customer Service Representative

Katy, TX · Remote

$20/hr

Tax Software Support - Independent Contractor Location: Remote (US-Based) Apply today to join the 1/5/26 certification class and lock in your spot for tax season success. Liveops is contracting ...

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All JobsRemote Software Contractor JobsRemote Software Contractor Jobs in Houston, TX

Remote Software Contractor information

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$45.8K

$106.8K

$158.5K

How much do remote software contractor jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote software contractor in Houston, TX is $106,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $124,100.00 per year, depending on experience, location, and employer.
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Remote Software Contractor jobs near you
Software Engineer - AI Coding Expert

Software Engineer - AI Coding Expert

micro1 AI

Houston, TX • Remote

$100 - $230/hr

Part-time

Posted 22 days ago

Job description

Job Title: Senior Software Engineer


Job Type: Contractor (~15 hrs a week)


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, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.




Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.




Apply