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Remote Audio Software Developer Jobs in Arizona (NOW HIRING)

YO AI Labs

AI Engineer - Remote

Phoenix, AZ · 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

RL Environment Engineer - Remote

Phoenix, AZ · 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

CUDA Developer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

YO AI Labs

AI Trainer - Remote

Phoenix, AZ · 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

GPU Programming Expert - Remote

Phoenix, AZ · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Provn

Senior Software Engineer

Scottsdale, AZ · Remote

$137K - $257K/yr

Senior Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia specializes in making brands better through the power of travel. The company is a merger of three powerhouse ...

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All JobsAudio Software Developer JobsRemote Audio Software Developer JobsRemote Audio Software Developer Jobs in Arizona

Remote Audio Software Developer information

What is the difference between Remote Audio Software Developer vs Remote Audio Engineer?

AspectRemote Audio Software DeveloperRemote Audio Engineer
CredentialsBachelor's in Computer Science, Software Engineering, or related field; experience with programming languages like C++, PythonBachelor's in Audio Engineering, Sound Design, or related; certifications like AET or AES
Work EnvironmentPrimarily remote, focused on coding, software development, and testingRemote or on-site, focused on recording, mixing, and sound design
Industry UsageTech companies, app development, audio software firmsMusic production, broadcasting, film, and live sound

Remote Audio Software Developers focus on creating and maintaining audio-related software through coding, while Remote Audio Engineers work on sound recording, mixing, and sound design. Both roles may work remotely but serve different aspects of audio technology and production.

What are popular job titles related to Remote Audio Software Developer jobs in Arizona?

For Remote Audio Software Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Audio Software Developer jobs in Arizona look for?

The top searched job categories for Remote Audio Software Developer jobs in Arizona are:

What cities in Arizona are hiring for Remote Audio Software Developer jobs?

Cities in Arizona with the most Remote Audio Software Developer job openings:

Remote Audio Software Developer jobs near you
Infographic showing various Remote Audio Software Developer job openings in Arizona as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

AI Engineer - Remote

Phoenix, AZ • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 14 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.