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Remote Ai Robotics Jobs (NOW HIRING)

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

... remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field. * Strong hands-on programming ...

New

Carbon Robotics

Contract QA Field Technician

Pasco, WA · On-site +1

$18 - $20/hr

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... remote driving is not feasible, ensuring continued operation. - Identify and communicate any ...

New

Trener Robotics

Channel Manager, East Coast (Sales)

$155K/yr

East Coast, United States (Remote with Travel) At Trener, we are transforming how industrial robots are programmed using AI. Our platform enables robots to reason, adapt, and execute complex ...

Motional

Director, Prediction and ML Planning

$288K - $396K/yr

A strong footprint in the AI/robotics research community (CVPR, ICCV, NeurIPS, ICRA, IROS ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

ABB

Payroll Partner EMEA - temporary role

Dallas, NC · On-site +1

$20.50 - $28/hr

SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics ... This will be a global role with hybrid or remote model of work. Preferred candidates are from ...

New

Thermo Fisher Scientific

Sr Staff AI Architect

Raleigh, NC · 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 ...

Thermo Fisher Scientific

Sr Staff AI Architect

Carlsbad, CA · 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 ...

Thermo Fisher Scientific

Sr Staff AI Architect

Carlsbad, CA · 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 ...

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Remote Ai Robotics information

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$84K

$96K

$116.5K

How much do remote ai robotics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote ai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

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 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.
More about Remote Ai Robotics jobs
What cities are hiring for Remote Ai Robotics jobs? Cities with the most Remote Ai Robotics job openings:
What are the most commonly searched types of Ai Robotics jobs? The most popular types of Ai Robotics jobs are:
What states have the most Remote Ai Robotics jobs? States with the most job openings for Remote Ai Robotics jobs include:
What job categories do people searching Remote Ai Robotics jobs look for? The top searched job categories for Remote Ai Robotics jobs are:
Remote Ai Robotics jobs near you
Infographic showing various Remote Ai Robotics job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Posted 5 days ago

New

Job description

Help us bridge machine learning research and real-world deployment!

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.
We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new algorithms and implementing them in performant, maintainable, and scalable production systems. You'll also help build the ML infrastructure and tooling that accelerates future research, while ensuring our AI solutions are reliable enough for real-world deployment.

If you're technically curious, highly collaborative, and motivated by solving complex real-world problems, we'd love to talk.

What You'll Do

  • Partner with Data Scientists to transform research algorithms into robust, production-quality software.
  • Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
  • Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development.
  • Design and implement AI agents, agentic workflows, and LLM-powered applications.
  • Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
  • Collaborate across engineering and research teams to transition prototypes into production systems.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.'

This is NOT a fully remote position!

Required

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
  • Strong hands-on programming experience in C++ and Python.
  • 3-5 years of experience developing and deploying machine learning systems in production environments.
  • Experience building AI agents, LLM-based applications, or intelligent automation systems.
  • Strong problem-solving skills and ability to work across the full development lifecycle.
  • Excellent written and verbal communication and collaboration skills.

Someone Who Will Thrive in This Role

  • Enjoys solving difficult technical challenges that span algorithms, software, and deployment.
  • Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
  • Takes ownership and drives projects from concept through production.
  • Continuously explores new AI, ML, and agentic technologies.
  • Works effectively across multidisciplinary teams.
  • Balances research innovation with practical product delivery.
  • Builds side projects, experiments with emerging AI tools, or enjoys hands-on technical exploration.

Bonus Points

  • Experience with radar, RF sensing, sensor fusion, computer vision, robotics, or autonomous systems.
  • Experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks.
  • Experience optimizing models for edge deployment usingTensorRT, ONNX,OpenVINO, TVM, or similar tools.
  • Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration.
  • Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems.

At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world capability. This is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster.