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Remote Ai Robotics Jobs (NOW HIRING)

Senior Manager, AI Innovation

Salem, OR ยท On-site +1

$268K - $364K/yr

Your mission is to drive research that derisks our product roadmap by solving complex robotics ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics ... Work from wherever suits you best thanks to our flexible remote work options. * Company Mobile ...

SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics ... Work from wherever suits you best thanks to our flexible remote work options. * Company Mobile ...

SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics ... Work from wherever suits you best thanks to our flexible remote work options. * Company Mobile ...

Supply Chain Specialist -- Robotics Type: Contract Compensation: $34-$40/hour Location ... Remote Role Responsibilities * Evaluate AI performance in inventory management, fulfillment ...

New

... (RPA) portfolio. The position requires hands-on technical leadership across generative AI ... Validate AI agent workflows for reliability, cost efficiency, and alignment with defined business ...

Director, Prediction and ML Planning

Boston, MA ยท On-site +1

$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 ...

New

Channel Manager, East Coast (Sales)

$155.60K/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 ...

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How much do remote ai robotics jobs pay per year?

As of May 30, 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 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.

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:
Infographic showing various Remote Ai Robotics job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Robotics Autonomy Engineer-Planning and Control (Federal)

FieldAI

Irvine, CA โ€ข On-site, Remote

$70K - $300K/yr

Full-time

Posted 19 days ago


Job description

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

About the Job

Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments.ย 

As our Robotics Autonomy Engineer - Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI.

What You'll Get To Do

1. Develop Robust Motion Planning Algorithms

  • Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments.

  • Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities.

  • Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts.

2. Advance Control and Planning Integration

  • Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.

  • Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance.

3. Validate and Test Across the Stack

  • Build and maintain testing pipelines from unit-level validation to full robot deployment.

  • Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation.

  • Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness.

4. Diagnose and Improve Field Performance

  • Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

  • Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance.

What You Have
  • Master's degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus).

  • Strong understanding of motion planning, trajectory generation, and control systems.

  • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).

  • Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc

  • Solid programming skills in C++ and Python on Linux-based systems.

  • Familiarity with robotics middleware such as ROS/ROS 2.

  • Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders.

  • Ability to work on US government project

The Extras That Set You Apart
  • Exposure to real-world deployment of autonomous systems.

  • Background in optimization, control, or numerical methods for trajectory planning.

  • Familiarity with learning-based or hybrid planning approaches.

  • Contributions to open-source planning or control frameworks.

  • Familiarity with safety-critical autonomy and industrial robotics use cases.

$70,000 - $300,000 a year
This position is for our FieldAI Federal Team.ย  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.ย  A U.S. Person as defined by 22 C.F.Rย  120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.ย 
ย 
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.ย  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
ย 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
ย 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. Withย a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
ย 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
ย 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.ย 
ย 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
ย 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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