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Remote Micro Systems Engineering Jobs in Arizona

YO AI Labs

AI Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

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 ...

YO AI Labs

Frontend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

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 ...

Wilson Engineers

Electrical Engineer (PE)-Remote

Tempe, AZ · On-site +1

$150K - $180K/yr

Proficient in completing electrical engineering calculations, including circuit load summaries ... Experience modeling electrical power distribution systems with SKM software a plus * Thorough ...

Wood Plc

Distribution Engineer (remote)

Phoenix, AZ · On-site +1

This position is a remote position or is a hybrid position in any of the following offices - West ... engineering- Knowledge of overhead systems design and the use of PLS-CADD- Knowledge of ...

YO AI Labs

AI Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

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 ...

YO AI Labs

RL Environment Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI/ML Software Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

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 ...

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All JobsMicro Systems Engineering JobsRemote Micro Systems Engineering JobsRemote Micro Systems Engineering Jobs in Arizona

Remote Micro Systems Engineering information

What is the difference between Remote Micro Systems Engineering vs Remote Embedded Systems Engineering?

AspectRemote Micro Systems EngineeringRemote Embedded Systems Engineering
Required CredentialsBachelor's or higher in Micro Systems, Electrical, or Computer Engineering; certifications like IPC or IEEE are commonBachelor's or higher in Electrical, Computer, or Embedded Systems Engineering; similar certifications
Work EnvironmentDesign, develop, and test micro-scale systems remotely, often involving CAD tools and simulation softwareDevelop and integrate embedded software/hardware for devices, often involving firmware and real-time systems
Employer & Industry UsageTech companies, manufacturing, aerospace, and research institutionsConsumer electronics, automotive, medical devices, and industrial automation

Remote Micro Systems Engineering and Remote Embedded Systems Engineering share similar educational backgrounds and work environments. However, Micro Systems Engineering focuses on designing micro-scale hardware, while Embedded Systems Engineering emphasizes software development for embedded devices. Both roles are vital in tech industries and often overlap in skills and tools used.

What are popular job titles related to Remote Micro Systems Engineering jobs in Arizona?

For Remote Micro Systems Engineering jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Micro Systems Engineering jobs in Arizona look for?

The top searched job categories for Remote Micro Systems Engineering jobs in Arizona are:

What cities in Arizona are hiring for Remote Micro Systems Engineering jobs?

Cities in Arizona with the most Remote Micro Systems Engineering job openings:

Remote Micro Systems Engineering jobs near you
Infographic showing various Remote Micro Systems Engineering job openings in Arizona as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

AI Engineer - Remote

YO AI Labs

Phoenix, AZ • 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.