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Remote G Code Programmer Jobs in Georgia (NOW HIRING)

YO AI Labs

AI Software Engineer - Remote

Atlanta, GA · 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

Atlanta, GA · 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

Kemper

Guidewire Developer-ClaimCenter

Alpharetta, GA · On-site +1

$53.25 - $70.25/hr

Location(s) Alpharetta, Georgia, Birmingham, Alabama, Boston, Massachusetts, Chicago, Illinois, Cleveland, Ohio, Columbus, Ohio, Downers Grove, Illinois, Jacksonville, Florida, P&C-Ingram Rd-San

YO AI Labs

AI/ML Software Engineer - Remote

Atlanta, GA · 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

DevOps Expert - Remote

Atlanta, GA · Remote

$30 - $80/hr

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

ICF

Lead Substation Physical Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Title: Lead Substation PhysicalEngineer Location: Remote US Ready to make a difference? ICF is seeking an experienced Substation Physical Engineer to lead the design and execution of high-voltage

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · 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.

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All JobsG Code Programmer JobsRemote G Code Programmer JobsRemote G Code Programmer Jobs in Georgia

Remote G Code Programmer information

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 Georgia?

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

What job categories do people searching Remote G Code Programmer jobs in Georgia look for?

The top searched job categories for Remote G Code Programmer jobs in Georgia are:

What cities in Georgia are hiring for Remote G Code Programmer jobs?

Cities in Georgia 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 Georgia as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution.

AI Software Engineer - Remote

Atlanta, GA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 15 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.