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Remote Ai Robotics Jobs in Raleigh, NC (NOW HIRING)

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99.60K - $131.20K/yr

The role employs AI and/or ML techniques that may include natural language processing (NLP ... robotics, and interactive user experiences. The role works with large-scale computing frameworks ...

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99.60K - $131.20K/yr

The role employs AI and/or ML techniques that may include natural language processing (NLP ... robotics, and interactive user experiences. The role works with large-scale computing frameworks ...

Machine Learning & Operations Engineer

Durham, NC · Remote

$67.20K - $90.80K/yr

Passion for building scalable AI infrastructure Why Join OptiTrack? * Work on cutting-edge motion ... robotics, animation, virtual reality, biomechanics, and virtual production * Remote-first ...

Machine Learning & Operations Engineer

Durham, NC · Remote

$71.10K - $96.20K/yr

Passion for building scalable AI infrastructure Why Join OptiTrack? * Work on cutting-edge motion ... robotics, animation, virtual reality, biomechanics, and virtual production * Remote-first ...

Software Engineer

Raleigh, NC · On-site +1

$96.44K - $195.68K/yr

... robots, and many other places. The Red Hat Ansible Engineering team is seeking a Software Engineer ... Demonstrated adoption of AI methodologies and tools to enhance efficiency, elevate code quality ...

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101.60K - $139.50K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

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Remote Ai Robotics information

See Raleigh, NC salary details

$81.7K

$93.3K

$113.2K

How much do remote ai robotics jobs pay per year?

As of May 29, 2026, the average yearly pay for remote ai robotics in Raleigh, NC is $93,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $99,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Robotics Engineer, and why are they important?

To thrive as a Remote AI Robotics Engineer, you need strong skills in robotics engineering, artificial intelligence, programming (such as Python or C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics simulation tools (like ROS, Gazebo), machine learning frameworks (such as TensorFlow or PyTorch), and cloud-based collaboration platforms is essential. Excellent problem-solving abilities, effective communication, and self-motivation are important soft skills, especially when working remotely. These skills and qualities enable efficient development, troubleshooting, and innovation in building intelligent robotic systems from distributed locations.

What are some common challenges faced by professionals working in remote AI robotics roles, and how can they be addressed?

Professionals in remote AI robotics roles often face challenges such as effective communication with distributed teams, managing hardware remotely, and ensuring reliable data transmission between systems. Overcoming these challenges typically involves adopting robust collaboration tools, implementing clear documentation practices, and using remote monitoring software to manage and troubleshoot robotic systems. Regular virtual meetings and clear protocols also help maintain alignment and productivity, while ongoing training ensures team members stay updated on the latest technologies and best practices in both AI and robotics.

What is a Remote AI Robotics job?

A Remote AI Robotics job involves working with artificial intelligence and robotics technologies from a remote location, rather than on-site. Professionals in this field design, develop, program, and manage robotic systems that use AI to perform tasks autonomously or semi-autonomously. These roles often require expertise in machine learning, computer vision, robotics engineering, and software development. Remote positions allow for collaboration with teams and clients across the globe, leveraging digital tools for communication and project management.

What is the difference between Remote Ai Robotics vs Remote Machine Learning Engineer?

AspectRemote Ai RoboticsRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics platformsBachelor's or higher in Computer Science, AI, or related; strong programming skills in Python
Work EnvironmentHands-on with robotics hardware, simulation, and software developmentFocus on developing algorithms, models, and data analysis in software environments
Industry UsageRobotics companies, automation firms, research labsTech companies, startups, research institutions
Common Search/ComparisonRemote Ai Robotics vs Remote Machine Learning Engineer

Remote Ai Robotics involves working with physical robots and hardware integration, while Remote Machine Learning Engineers focus on developing algorithms and models in software. Both roles require strong programming skills and a background in AI, but they differ in their work environment and industry applications.

What are the most commonly searched types of Ai Robotics jobs in Raleigh, NC? The most popular types of Ai Robotics jobs in Raleigh, NC are:
What are popular job titles related to Remote Ai Robotics jobs in Raleigh, NC? For Remote Ai Robotics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Ai Robotics jobs in Raleigh, NC look for? The top searched job categories for Remote Ai Robotics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Ai Robotics jobs? Cities near Raleigh, NC with the most Remote Ai Robotics job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Raleigh, NC • Remote

Other

Posted 7 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.