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

micro1 AI

Senior Database Reliability Engineer

Tucson, AZ · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... Code (Terraform), CI/CD pipelines, and cloud-native service environments. • Exposure to ...

ABB

Commercial Proposal Engineer

Tucson, AZ · Remote

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... g., ABB Empower). * At least 5 years of experience in the electrical distribution or a related ...

micro1 AI

Director of Biostatistics

Tucson, AZ · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a ...

Spara Technologies

Sr. Buyer (Remote)

Tucson, AZ · Remote

Knowledge of sourcing and procuring engineered components (e.g., electrical systems, machined parts). * Understanding of supply chain processes , industry standards, and market trends. * Proficiency ...

ABB

Strategic Segment Proposal Engineer

Tucson, AZ · Remote

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... g., Microsoft Outlook, Salesfore.com, Teams, etc.) * Ability to travel up to 2-3 times a year.

Clinisys

Professional Services Consultant (MS)

Tucson, AZ · On-site +1

$75K - $101K/yr

... codes and laboratory workflows • 3-5 years' experience with SQL query writing, programming ... Department Professional Services Locations USA Remote Remote status Fully Remote Employment type ...

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All JobsG Code Programmer JobsRemote G Code Programmer JobsRemote G Code Programmer Jobs in Tucson, AZ

Remote G Code Programmer information

See Tucson, AZ salary details

$11

$37

$65

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

As of Sep 8, 2026, the average hourly pay for remote g code programmer in Tucson, AZ is $37.38, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $48.65 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 Tucson, AZ?

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

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

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

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

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

Remote G Code Programmer jobs near you
Infographic showing various Remote G Code Programmer job openings in Tucson, AZ as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,751 per year, or $37.4 per hour.

Research Intern on Generative and Protective AI for Content Creation

Tucson, AZ • On-site, Remote

Sony
Appliances and Electrical and Electronics Wholesalers • 10K+ employees
Learn more about Sonyexternal

$50/hr

Full-time

Re-posted 9 days ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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