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Remote G Code Programmer Jobs in The Colony, TX (NOW HIRING)

YO AI Labs

AI Software Engineer - Remote

Dallas, TX · 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

AI/ML Software Engineer - Remote

Dallas, TX · 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

Richardson, TX · On-site +1

$49.50 - $65.50/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

DevOps Expert - Remote

Dallas, TX · 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

Dallas, TX · Remote

$101K - $133K/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

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All JobsG Code Programmer JobsRemote G Code Programmer JobsRemote G Code Programmer Jobs in The Colony, TX

Remote G Code Programmer information

See The Colony, TX salary details

$11

$36

$63

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

As of Sep 13, 2026, the average hourly pay for remote g code programmer in The Colony, TX is $36.66, according to ZipRecruiter salary data. Most workers in this role earn between $23.85 and $47.69 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 The Colony, TX?

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

What job categories do people searching Remote G Code Programmer jobs in The Colony, TX look for?

The top searched job categories for Remote G Code Programmer jobs in The Colony, TX are:

What cities near The Colony, TX are hiring for Remote G Code Programmer jobs?

Cities near The Colony, TX 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 The Colony, TX as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,256 per year, or $36.7 per hour.

AI Software Engineer - Remote

Dallas, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 17 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.