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Remote G Code Programmer Jobs in Aberdeen Proving Ground, MD

SmartLogic

Software Developer

Baltimore, MD · Remote

Write concise, maintainable, and well-tested code using Ruby on Rails and/or Phoenix/Elixir * Work ... Senior Developer: $110,000 to $140,000 This position is fully remote and you may work from anywhere ...

SmartLogic

Software Developer

Baltimore, MD · On-site +1

Write concise, maintainable, and well-tested code using Ruby on Rails and/or Phoenix/Elixir * Work ... Senior Developer: $110,000 to $140,000 This position is fully remote and you may work from anywhere ...

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All JobsG Code Programmer JobsRemote G Code Programmer JobsRemote G Code Programmer Jobs in Aberdeen Proving Ground, MD

Remote G Code Programmer information

See Aberdeen Proving Ground, MD salary details

$12

$42

$73

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

As of Sep 5, 2026, the average hourly pay for remote g code programmer in Aberdeen Proving Ground, MD is $42.30, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $55.05 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 Aberdeen Proving Ground, MD?

For Remote G Code Programmer jobs in Aberdeen Proving Ground, MD, the most frequently searched job titles are:

What cities near Aberdeen Proving Ground, MD are hiring for Remote G Code Programmer jobs?

Cities near Aberdeen Proving Ground, MD 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 Aberdeen Proving Ground, MD as of June 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $87,991 per year, or $42.3 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Smyrna, DE • Remote

Full-time

Re-posted 15 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply