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Live In Robot Jobs in California (NOW HIRING)

TSMG

Robot Teleoperator (AI & Robotics)

Milpitas, CA · On-site

... in fast-paced operational environments. What You'll Do Robot Operations * Operate robots using teleoperation consoles, controllers, and monitoring systems * Monitor live video feeds and robot ...

TSMG

Robot Teleoperator (AI & Robotics)

Fremont, CA

... in fast-paced operational environments. What You'll Do Robot Operations * Operate robots using teleoperation consoles, controllers, and monitoring systems * Monitor live video feeds and robot ...

TSMG

Robot Teleoperator (AI & Robotics)

Fremont, CA

... in fast-paced operational environments. What You'll Do Robot Operations * Operate robots using teleoperation consoles, controllers, and monitoring systems * Monitor live video feeds and robot ...

Yondu Inc.

Contract Robot Operator

Gardena, CA · On-site

$20/hr

In this role, you'll remotely operate and monitor a humanoid robot performing picking tasks helping keep operations running smoothly during live warehouse hours. You'll be working closely with our ...

Rhoda AI

Robot Software Engineer

Palo Alto, CA · On-site

$130 - $210/hr

Experience with ROS/ROS2 or similar robotics middleware in production or research contexts * Ability to debug across the full stack -- from driver-level issues to application behavior on live ...

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Live In Robot information

What is the difference between Live In Robot vs Live In Caregiver?

AspectLive In RobotLive In Caregiver
CredentialsNone required, technical skills preferredCPR certification, caregiving training often required
Work EnvironmentHome or facility, technology-drivenPrivate homes, healthcare settings
Employer & IndustryTech companies, healthcare, eldercareFamilies, healthcare providers
Primary RoleAssist with tasks, companionship, monitoringPersonal care, emotional support, daily assistance

While both Live In Robots and Live In Caregivers provide around-the-clock support, robots focus on automation, monitoring, and task assistance without emotional involvement. Caregivers offer personal, emotional, and physical support, often requiring certifications. Understanding these differences helps in choosing the right support for specific needs.

How can I get a job as a Live In Robot?

To become a Live In Robot, typically you need technical skills in robotics, programming, or automation, along with experience in operating or maintaining robotic systems. Relevant certifications or training in robotics, AI, or related fields can improve your chances, and positions often require working in environments that support 24/7 operation or remote monitoring.

What are the most commonly searched types of Robot jobs in California?

The most popular types of Robot jobs in California are:

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For Live In Robot jobs in California, the most frequently searched job titles are:

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The top searched job categories for Live In Robot jobs in California are:

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Live In Robot jobs near you

Robot Learning Research Engineer (Manipulation Policies)

Woven

Palo Alto, CA • On-site

$120 - $300/hr

Other

Posted 5 days ago

Job description

Robot Learning Research Engineer (Manipulation Policies)

Location: In-person, downtown Palo Alto

Type: Full-time or Co-op

Start Date: ASAP

Compensation range: $120,000 - $300,000 (FT); $30-$40 per hour (Co-op)

About Us

Mundane is a venture-backed seed-stage robot learning startup founded by a team of Stanford researchers and builders. We’re deploying a massive fleet of humanoid robots to perform mundane tasks in commercial environments, collecting data to build the next generation of embodied intelligence. We’re a fast-paced, execution-driven team of engineers, roboticists, and dreamers.

About the Role

You’ll develop the learning systems that give our robots adaptability in the real world. From data pipelines to training and deployment of ML models , you’ll push the frontier of embodied intelligence by making robots learn directly from large-scale, real-world experience.

At Mundane, your code won’t sit in simulation — it will be trained, tested, and deployed on humanoids operating in customer environments. This is a high-impact role at the intersection of machine learning and robotics.

Responsibilities

  • Design and implement ML algorithms for robot perception, control, and decision-making.
  • Build and maintain data pipelines for large-scale collection, labeling, and training from robots in the field.
  • Develop real-time inference systems that integrate seamlessly with the robotics stack.
  • Collaborate with controls, perception, and embedded teams to deliver robust end-to-end autonomy.
  • Optimize models for reliability, latency, and performance on hardware-constrained platforms.
  • Push forward new approaches in robot learning — imitation learning, RL, foundation models for robotics.

Qualifications

  • Strong proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX).
  • Hands-on experience with robotic software stacks (ROS2, real-time control, perception pipelines).
  • Background in reinforcement learning, imitation learning, or embodied AI .
  • Experience deploying ML models to real-world systems, not just simulation.
  • Strong debugging skills across hardware, software, and data.
  • Bonus: Publications in robotics/ML conferences (RSS, ICRA, CoRL, NeurIPS), or experience scaling large data-driven systems.

What You’ll Get

  • Direct ownership of the learning systems powering humanoid robots.
  • Early equity with meaningful upside in a venture-backed robotics company.
  • The ability to ship ML models to live robots in weeks, not quarters.
  • Exposure to the full robotics stack — hardware, controls, perception, embedded systems.
  • A front-row seat in scaling a technically ambitious company from seed stage.

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