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

Sr Staff AI Architect

Raleigh, NC ยท On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... Experience architecting enterprise RPA (UiPath) platforms. * Knowledge of Intelligent Process ...

Senior ITSMA Observability Engineer

Raleigh, NC ยท On-site +1

$101K - $139K/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 ...

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 Sep 2, 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 is a remote AI robotics?

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 are the key skills and qualifications needed to thrive as a remote AI robotics engineer?

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 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 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 cities near Raleigh, NC are hiring for Remote Ai Robotics jobs?

Cities near Raleigh, NC with the most Remote Ai Robotics job openings:

Founding Chief Technology Officer (CTO)

Modern Government Solutions

Raleigh, NC โ€ข Remote

Full-time

Posted 26 days ago


Job description

Role Title: Founding Chief Technology OfficerLocation: Remote-first (U.S.) Job Type: Full-time Clearance Required: U.S. Citizenship & Top Secret clearance eligibility requiredModern Government Solutions (MGS) is conducting a confidential executive search on behalf of a venture-backed defense technology partner seeking its Founding Chief Technology Officer. The client's identity is withheld at this stage and will be shared with qualified, pre-screened candidates under a non-disclosure agreement. All inquiries are handled discreetly through MGS.About the OpportunityOur client is an early-stage, venture-backed company building advanced hardware, sensing, and autonomous systems for defense and national security customers. In a short time the company has moved from concept to field-validated technology, secured early government agreements, and attracted institutional investment. The next phase is about converting proven prototypes into rugged, mission-ready products at production scale, and that mission defines this role.This is a founding executive seat with meaningful equity and outsized influence over the company's technical direction. It is a builder's role, not a research role: you will lead the teams that design, prototype, manufacture, deploy, and continuously improve products that protect the people who use them.What You Will OwnTechnology vision & roadmap. Partner with the CEO and COO to translate customer and operational needs into a multi-year technology strategy, and build the engineering organization to deliver it.AI/ML and edge AI. Lead model development and MLOps for inference that runs on low-power hardware, offline and in degraded environments; not cloud-dependent enterprise AI.Robotics & autonomy. Direct development of autonomous and embedded systems that operate in GPS-denied and communications-denied conditions.Hardware & embedded engineering. Oversee electrical, mechanical, embedded, and systems engineering through ruggedization and environmental (MIL-STD-class) testing.Prototype-to-production. Own the transition from prototype to scalable manufacturing; design for manufacturability, supply-chain qualification, quality and production-test systems, and production scale-up.Engineering leadership & culture. Recruit and develop an elite, multidisciplinary engineering team, and set an execution culture built on speed, ownership, and mission focus.What We're Looking For15+ years of hands-on engineering leadership, including taking hardware products from concept through production. Military or aerospace systems experience is a strong plus.Deep, current expertise across machine learning and edge AI, robotics or autonomous systems, and embedded platforms; a leader equally at home in the machine shop and the boardroom.A track record of scaling: standing up manufacturing or contract-manufacturing at volume, and building an engineering organization from a handful of people to twenty-plus who would follow you again.Builder's temperament: comfortable making decisions with incomplete information, hands-on in early-stage development, and driven by mission over title.S. citizenship required, with the ability to obtain and maintain a Top Secret clearance (TS/SCI eligibility preferred; an active clearance is a plus), due to federal contract and export-control (ITAR) obligations.Advanced degree in engineering, computer science, robotics, physics, or a related field preferred - though a record of shipped products outweighs academic credentials.Location, Compensation & EligibilityLocation: Remote-first within the U.S., with periodic travel to customer sites and company engagements. Openness to relocation over a multi-year horizon is expected as the company scales its operations.Compensation: Competitive executive salary, meaningful founding equity, performance-based incentives, and comprehensive benefits.Eligibility: U.S. citizenship is required. The client is an equal-opportunity employer; employment decisions are made on the basis of merit and mission fit.How to ApplyQualified candidates and referrals may apply in confidence through the Modern Government Solutions careers page or by contacting the MGS recruiting team directly. Pre-screened candidates will be introduced to the client and provided full role details under NDA.