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Remote Power Distribution Engineer Jobs in Arizona

AI Engineer - Remote

Phoenix, AZ ยท Remote

$80 - $120/hr

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 ...

Senior Software Engineer, Frontend

Phoenix, AZ ยท On-site +1

$152K - $205K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Experience collaborating with product managers, designers, and distributed engineering teams.

Senior Software Engineer

Scottsdale, AZ ยท Remote

$137K - $257K/yr

... Remote (US) Full-time About arrivia arrivia specializes in making brands better through the power ... Solid experience with RESTful API design, distributed systems, and microservices * Experience ...

Senior Site/Civil Engineer

Phoenix, AZ ยท On-site +1

$125K - $160K/yr

However for the right candiate, this would be a remote position. Joining the power team at GFT ... Our team excels in providing solutions for power transmission, distribution, and renewable energy ...

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 ...

AI Software Engineer - Remote

Phoenix, AZ ยท Remote

$80 - $120/hr

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 ...

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 ...

Sales Specialist - Power Protection

Phoenix, AZ ยท On-site +1

$130K - $150K/yr

Sales Specialist - Power Protection Full-Time | Permanent Remote Salary: $130,000-$150,000 ... Transmission, distribution, or generation customers * Technical sales to industrial power customers ...

Senior OT Network Engineer

Phoenix, AZ ยท On-site +1

$103K - $141K/yr

A little about Capital Power Capital Power (TSX: CPX) is dedicated to Powering Change by Changing ... Support OT cybersecurity initiatives, including network segmentation, secure remote access ...

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 ...

... Remote (US) Full-time About arrivia arrivia specializes in making brands better through the power ... Lead improvements to development and operations of an increasingly distributed architecture across ...

... position is remote based; however, candidates must be able to travel onsite up to four days per ... Visit distributor and other repair shops to review failures and advise on repairs. * Advise when ...

Showing results 21-40

Remote Power Distribution Engineer information

What does a remote power distribution engineer do?

A Remote Power Distribution Engineer is responsible for designing, analyzing, and maintaining electrical power distribution systems, often from a remote location. They use specialized software and tools to monitor power grids, troubleshoot issues, and optimize the distribution of electricity to ensure reliability and efficiency. Their work may involve collaborating with field teams, planning system upgrades, and ensuring compliance with safety and regulatory standards. Remote work allows them to manage projects and resolve problems without needing to be physically present at power distribution sites.

What are the key skills and qualifications needed to thrive as a remote power distribution engineer, and why are they important?

To thrive as a Remote Power Distribution Engineer, you need a solid background in electrical engineering, power systems analysis, and a relevant engineering degree with licensure such as a Professional Engineer (PE) certification. Familiarity with software like AutoCAD, SCADA systems, and power flow analysis tools is typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate remotely are vital soft skills for this role. These competencies enable engineers to ensure safe, efficient, and reliable power distribution while coordinating with dispersed teams and stakeholders.

What are some common challenges faced by remote power distribution engineers, and how can they be effectively managed?

Remote Power Distribution Engineers often encounter challenges such as coordinating with on-site teams across different locations, troubleshooting issues without being physically present, and ensuring reliable communication with stakeholders. Effective management of these challenges involves leveraging advanced remote monitoring tools, maintaining clear communication protocols, and staying updated on the latest industry standards. Building strong relationships with field personnel and participating in regular virtual meetings can also help bridge the gap and ensure smooth project execution.

What are the most commonly searched types of Power Distribution Engineer jobs in Arizona?

The most popular types of Power Distribution Engineer jobs in Arizona are:

What job categories do people searching Remote Power Distribution Engineer jobs in Arizona look for?

The top searched job categories for Remote Power Distribution Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Power Distribution Engineer jobs?

Cities in Arizona with the most Remote Power Distribution Engineer job openings:

Infographic showing various Remote Power Distribution Engineer job openings in Arizona as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 100% Remote job distribution.

AI Engineer - Remote

Phoenix, AZ โ€ข Remote

$80 - $120/hr

Full-time

Posted 18 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.