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Remote Robot Driver Jobs (NOW HIRING)

Waymo

Staff Robotics Engineer

Mountain View, CA · On-site +1

$210K - $259K/yr

The Waymo Driver has provided over ten million rider-only trips, enabled by its experience ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Symbotic

Integration Specialist

I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through ... This is a remote, field-based position supporting regional site commissioning projects. We are ...

Locus Robotics

Locus Robotics is transforming how the world's leading brands run their warehouses, using AI and ... This is a remote position open to candidates based in Germany, Poland, or the Netherlands, and will ...

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How much do remote robot driver jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote robot driver in the United States is $36.88, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $43.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Robot Driver, and why are they important?

To thrive as a Remote Robot Driver, you need strong spatial awareness, excellent hand-eye coordination, and proficiency in operating remote control systems, often supported by a technical diploma or relevant experience. Familiarity with teleoperation platforms, video monitoring software, and possibly certifications in robotics or drone operation are typically required. Strong problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for ensuring safe, precise, and efficient remote operation of robots in various environments.

What are Remote Robot Drivers?

Remote Robot Drivers are professionals who operate robots or robotic vehicles from a distance, often using specialized software, cameras, and control interfaces. They may control delivery robots, industrial machines, drones, or other automated devices to perform tasks in environments ranging from warehouses to public spaces. This role requires technical proficiency, attention to detail, and strong communication skills to ensure the robot performs tasks safely and efficiently. Remote Robot Drivers play a crucial role in industries adopting automation and robotics for tasks that are repetitive, hazardous, or require precision.

What are some common challenges faced by Remote Robot Drivers and how can they be overcome?

Remote Robot Drivers often encounter challenges such as latency in communication, navigating unfamiliar environments, and managing multiple robots simultaneously. To overcome these, it's important to develop strong situational awareness, stay updated on the latest teleoperation technologies, and communicate effectively with on-site teams. Regular training sessions and simulations can also help drivers sharpen their remote navigation skills and adapt quickly to changing conditions.
Infographic showing various Remote Robot Driver job openings in the United States as of May 2026, with employment types broken down into 8% As Needed, and 92% Full Time. Highlights an 100% Remote job distribution, with an average salary of $76,712 per year, or $36.9 per hour.
Robotics & Innovation Engineer

Robotics & Innovation Engineer

Gedeon GRC Consulting

Newark, NJ • On-site, Remote

$120K - $135K/yr

Full-time

Medical, Retirement, PTO

Posted 22 days ago

Job description

Gedeon GRC Consulting is looking for a Robotics & Innovation Engineer to join our firm! The Robotics & Innovation Engineer would support the development and deployment of emerging technologies across the firm's engineering and construction workflows. This role focuses on advancing robotics, sensing systems, data pipelines, and intelligent automation to improve how infrastructure is inspected, analyzed, and delivered. The position operates at the intersection of research and field application, translating new technologies into scalable solutions that enhance productivity, safety, and decision-making across projects.
SALARY RANGE:
$120,000 - $135,000 annually, Pay commensurate with experience.
LOCATION:
Options of Remote, Hybrid (local to the NYC Metro Area) or in office at our Newark, NJ location.

TRAVEL:
This position requires travel (less than 50%).

BENEFITS:
90% Company contribution towards all Health Insurance Plans, 401K Match, PTO, Bonus Potential, 10 Paid Company Holidays, and much more.
RESPONSIBILITIES:
❖ Support the design, development, and evaluation of robotic and sensor-based systems for applications such as inspection, surveying, mapping, and construction monitoring.
❖ Develop and implement data processing and analysis workflows to extract actionable insights from imagery, sensor data, and field-collected datasets.
❖ Contribute to the development of automation and AI/ML solutions that improve engineering processes and operational efficiency.
❖ Assist in integrating emerging technologies (e.g., robotics, computer vision, geospatial systems, digital twins) into existing company workflows.
❖ Support field deployment, testing, and validation of new tools and systems in real-world project environments.
❖ Collaborate with internal teams to identify opportunities for innovation, process improvement, and technology adoption.
❖ Maintain and improve existing research and deployed systems based on performance, feedback, and evolving project needs.
❖ Contribute to research initiatives, pilot programs, and grant-funded projects, including prototyping and reporting.
❖ Prepare visualizations, models, and reports to communicate findings and support decision-making.


QUALIFICATIONS:
❖ Bachelor's or Master's degree in Engineering, Computer Science, Robotics, or a related field and 5+ or 2+ years professional experience respectively.
❖ Advanced degree (e.g., PhD) with internship, academic project, co-op, or entry-level experience involving programming, process automation, workflow improvement, dataset development, or business technology implementation is preferred but not required.
❖ Experience working on applied technology, research, or field-based engineering projects preferred.
❖ US Driver's License.
❖ FAA Part 107 License is preferred.
❖ Experience or strong interest in robotics systems and field-deployed technologies.
❖ Experience or strong interest in data analysis, automation, or applied AI/ML.
❖ Experience or strong interest in engineering workflows within AEC, infrastructure, or related industries.
❖ Proficiency in Python or similar programming languages.
❖ Proficiency in data processing and visualization tools.
❖ Familiarity with computer vision or image processing.
❖ Familiarity with sensor data integration (e.g., LiDAR, thermal, geospatial data).
❖ Familiarity with robotics software stacks (e.g., ROS or equivalent).
❖ Familiarity with BIM, CAD, or geospatial platforms.
❖ Strong problem-solving and analytical skills.
❖ Ability to work across disciplines and translate technical concepts into practical applications.
❖ Effective communication and collaboration skills.