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Remote Robot Operator Jobs in California (NOW HIRING)

Reliable Robotics

Systems Architect

Mountain View, CA · On-site +1

$190K - $300K/yr

As a Systems Architect at Reliable Robotics, you will be a part of the Systems team and will report ... Define the relationship between the vehicle, pilot, and support system for remotely operated ...

Cobot

VP of Sales

Santa Clara, CA · On-site +1

Collaborative Robotics is a team of innovators and builders redefining the future of human-robot ... The role is also open to remote work from the San Francisco Bay Area, Seattle, Boston, Boulder ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Experience deploying and operating ML systems for robotics or real-world physical systems ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Experience deploying and operating ML systems for robotics or real-world physical systems ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Oklo

Mechanical Design Engineer - Fuel Recycling

Santa Clara, CA · On-site +1

$89K - $121K/yr

... operated electrochemical molten salt process equipment used in nuclear fuel recycling. This work ... Incorporate design-for-automation principles to enable remote handling, inspection, and maintenance ...

Intuitive

Staff Software Build Engineer

Sunnyvale, CA · Remote

As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like ... Proven experience implementing and operating Bazel Remote Caching and Remote Execution at scale.

Robust.ai

Strategic Sales Director

San Carlos, CA · On-site +1

Strategic Sales Director Robust AI | San Carlos, CA - Remote | Full Time About you and this role ... Help us redefine the very foundation of robotics and build robots that are smart, safe, and ...

Robust.ai

Strategic Sales Director

San Carlos, CA · On-site +1

Strategic Sales Director Robust AI | San Carlos, CA - Remote | Full Time About you and this role ... Help us redefine the very foundation of robotics and build robots that are smart, safe, and ...

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Remote Robot Operator information

What is the difference between Remote Robot Operator vs Remote Drone Pilot?

AspectRemote Robot OperatorRemote Drone Pilot
CredentialsRobotics certifications, technical trainingFAA drone licenses, FAA Part 107 certification
Work EnvironmentIndoor control rooms, remote locationsOutdoor or indoor aerial operations, remote control
Industry UsageManufacturing, logistics, researchPhotography, surveying, inspection
Common Search IntentRemote robotic systems, automation jobsDrone operation, aerial remote work

Remote Robot Operators and Remote Drone Pilots both operate remotely, often requiring technical certifications. While Remote Robot Operators focus on controlling robotic systems in various industries like manufacturing, Remote Drone Pilots specialize in flying drones for tasks such as inspection or photography. The roles overlap in remote operation skills but differ in equipment and industry applications.

What is a remote robot operator?

Remote Robot Operators are professionals who control robots or robotic systems from a distance, often using specialized software and interfaces. They may operate robots for tasks such as warehouse logistics, manufacturing, surveillance, or telepresence in hazardous environments. This role requires technical proficiency, quick problem-solving skills, and the ability to monitor multiple systems simultaneously. Remote Robot Operators are essential in industries that rely on automation and need human oversight to ensure safety and efficiency.

What are some common challenges faced by remote robot operators, and how can they be addressed?

Remote Robot Operators often encounter challenges such as latency in controls, unexpected environmental variables, and communication barriers with onsite teams. Managing these issues typically requires strong problem-solving skills, familiarity with troubleshooting hardware and software remotely, and excellent communication to quickly relay information or request assistance. Continuous training and regular coordination with engineering and support teams help operators adapt to new technologies and maintain efficient, safe robot operations.

What skills and qualifications are needed to thrive as a remote robot operator?

To thrive as a Remote Robot Operator, you need a solid understanding of robotics, mechanical systems, and computer operation, often supported by technical training or certifications in robotics or related fields. Familiarity with remote control software, teleoperation systems, and troubleshooting tools is commonly required. Critical thinking, attention to detail, and strong communication skills set top performers apart in this role. These abilities are crucial for ensuring safe, efficient, and effective operation of remote robotic systems across various industries.
What are the most commonly searched types of Robot Operator jobs in California? The most popular types of Robot Operator jobs in California are:
What are popular job titles related to Remote Robot Operator jobs in California? For Remote Robot Operator jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Robot Operator jobs in California look for? The top searched job categories for Remote Robot Operator jobs in California are:
What cities in California are hiring for Remote Robot Operator jobs? Cities in California with the most Remote Robot Operator job openings:
Remote Robot Operator jobs near you
Infographic showing various Remote Robot Operator job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 8% In-person, and 92% Remote job distribution.

Staff Machine Learning Engineer - AV Labs

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

Re-posted 20 days ago

Uber rating

6.9

Company rating: 6.9 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a Senior ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.

As a Staff ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will set the technical direction for the development and implementation of machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. You aren't just solving known problems; you are identifying the next generation of challenges in AV, designing the architectural foundations to solve them, and raising the bar for technical excellence across the entire engineering organization.

What the Candidate Will Do

Set the technical roadmap and lead the delivery of state-of-the-art Machine Learning systems:

  • Algorithm Development: Lead the strategy for development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • Architecture & System Design: Design and oversee the implementation of complex, large-scale ML systems, ensuring seamless integration between upstream sensor data.
  • Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence. You will influence the technical direction of multiple teams.
  • Platform Evolution: Define the requirements for high-quality datasets and auto-labeling systems, ensuring our ML infrastructure evolves at the speed of the latest research.
  • Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure that autonomous technology is successfully integrated and deployed at scale.
Basic Qualifications
  • 8+ years of working experience in the ML, Robotics, or Autonomous Systems industry.
  • Proven experience leading large-scale technical projects from conception to production.
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields.
  • Expert-level proficiency in Python and Linux environments.
  • Deep expertise in modern AI/ML frameworks (e.g., PyTorch).
Preferred Qualifications
  • PhD degree in Computer Vision, Robotics, or Machine Learning with a focus on Autonomous Driving.
  • Extensive experience with C++, CUDA, and high-performance system optimization.
  • Deep understanding of the Robot Operating System (ROS) or similar autonomous middleware.
  • Recognized expertise in the field (e.g., publications in CVPR, NeurIPS, ICRA or patents related to AV).
  • Experience building and scaling "Foundation Models" for physical world interaction.
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Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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