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Remote G Code Programmer Jobs in Phoenix, AZ (NOW HIRING)

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ ยท Remote

$140K - $170K/yr

Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere.

We are looking for a Mobile Application Developer with experience in React Native, Swift, and/or Kotlin to help build and maintain the mobile applications that power our direct-to-consumer

Electrical Engineer (PE)-Remote

Tempe, AZ ยท On-site +1

$150K - $180K/yr

Description Wilson Engineers is a respected Arizona-based consulting firm delivering innovative water and wastewater engineering and construction management solutions for communities throughout the

Overview / Responsibilities Wood Process & Energy business performs consulting and EPCM services for many of North America's power generation and power distribution companies. Wood currently has

We are looking for a Mobile Application Developer with experience in React Native, Swift, and/or Kotlin to help build and maintain the mobile applications that power our direct-to-consumer

Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software

AI Trainer - Remote

Phoenix, AZ 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

Showing results 41-60

Remote G Code Programmer information

See Phoenix, AZ salary details

$11

$39

$68

How much do remote g code programmer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote g code programmer in Phoenix, AZ is $39.26, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $51.06 per hour, depending on experience, location, and employer.

What is the difference between Remote G Code Programmer vs CNC Machinist?

AspectRemote G Code ProgrammerCNC Machinist
CredentialsKnowledge of G-code, CAD/CAM software, sometimes certifications in CNC programmingTechnical training, certifications in machining or manufacturing
Work EnvironmentPrimarily remote, computer-based tasksOn-site manufacturing or machine shop
Industry UsageDesigning and programming CNC machines remotelyOperating CNC machines directly in production
Search & Comparison IntentUnderstanding programming roles, remote work optionsHands-on machining skills, on-site work

The main difference is that Remote G Code Programmers focus on writing and optimizing G-code instructions remotely, often using CAD/CAM software, while CNC Machinists operate and set up CNC machines directly in manufacturing environments. Both roles require knowledge of G-code, but their work settings and responsibilities differ significantly.

What are popular job titles related to Remote G Code Programmer jobs in Phoenix, AZ?

For Remote G Code Programmer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote G Code Programmer jobs in Phoenix, AZ look for?

The top searched job categories for Remote G Code Programmer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote G Code Programmer jobs?

Cities near Phoenix, AZ with the most Remote G Code Programmer job openings:

Infographic showing various Remote G Code Programmer job openings in Phoenix, AZ as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $81,651 per year, or $39.3 per hour.

Full Stack Software 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.