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Remote Robot Operator Jobs in California (NOW HIRING)

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 ...

Danaher

Consumables Design Engineer II

Sunnyvale, CA · On-site +1

$93K - $128K/yr

At Cepheid, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Modelyst

Senior Data Engineer

Sacramento, CA · Remote

$113K - $153K/yr

After launch, the role shifts to operating and extending the platform as the engagement matures ... Remote within the United States * Must be authorized to work in the U.S. without employer ...

Cyngn

Senior Program Manager - Deployments

Mountain View, CA · On-site +1

$136K - $137K/yr

We aren't robots. We just develop them. We're a welcoming, diverse team of sharp thinkers and kind ... Comfortable operating without a playbook, knowing when to establish process and when to move ...

Cyngn

Senior Program Manager - Deployments

Mountain View, CA · On-site +1

$136K - $137K/yr

We aren't robots. We just develop them. We're a welcoming, diverse team of sharp thinkers and kind ... Comfortable operating without a playbook, knowing when to establish process and when to move ...

unspun™

Senior Embedded Software Engineer

Emeryville, CA · On-site +1

$170K - $210K/yr

Experience designing or operating OTA update systems (security, signing, staged rollouts, rollback ... remote debugging) * Experience with electro-mechanical systems and industrial robotics Our Culture ...

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All JobsRemote Robot Operator JobsRemote Robot Operator Jobs in California

Remote Robot Operator information

Which 5 jobs will survive AI?

Remote robot operators are likely to continue working as AI and automation handle routine tasks, but human oversight remains essential for complex decision-making and troubleshooting. Jobs requiring creativity, emotional intelligence, and advanced technical skills, such as healthcare professionals, software developers, educators, managers, and skilled tradespeople, are expected to persist despite AI advancements.

How to become a robot operator?

To become a robot operator, you typically need a high school diploma or equivalent, along with technical training or certification in robotics, automation, or related fields. Gaining experience with robotic systems, understanding programming languages like Python or C++, and developing troubleshooting skills are also important for this role.

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 are Remote Robot Operators?

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.

How much do robotics operators make?

Robotics operators typically earn between $40,000 and $70,000 annually, depending on experience, industry, and location. Entry-level positions may start lower, while experienced operators with specialized skills or certifications can earn higher salaries, especially in manufacturing or automation environments.

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 job makes $10,000 a month without a degree?

A remote robot operator can potentially earn $10,000 a month by managing and controlling robots or automated systems, often requiring technical skills, familiarity with control software, and the ability to troubleshoot remotely. High earnings typically depend on experience, specialization, and the complexity of the tasks performed.

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

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

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Posted 13 days ago

Job description

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.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, 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.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
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.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With 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.
 
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.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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