Robot Data Operations Analyst

Reposted 16 Days Ago
7 Locations
In-Office
Entry level
Artificial Intelligence • Information Technology • Robotics • Software
The Role
The Robot Data Operations Analyst will control robots, evaluate performance, provide quality assurance, and document observations safely in an R&D setting.
Summary Generated by Built In
Robot Data Operations Analyst

Role Overview

Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, so humans can focus on creativity, curiosity, and what we love.

As a Robot Data Operations Analyst, you’ll split your time between hands-on robot teleoperation and analytical work. You’ll be maintaining high quality data by designing robotics tasks for data collection, labeling datasets, evaluating models, and providing quality assurance and feedback to engineering and fleet operation teams. You will also support robot teleoperation sessions, monitor robot behavior, identify and report issues, and maintain safety in an R&D environment. In this role, you'll gain hands-on experience with robotics systems, contribute directly to training foundation models, and work alongside ML engineers and roboticists.

This role is hands-on and is onsite in San Carlos, CA.

Responsibilities:

  • Control the robot by wearing a teleoperating device and equipment for robot training purposes, following standard operating procedures.

  • Observe robot behavior and document robot issues during operation.

  • Perform quality checks on teleoperation performance from videos and provide feedback to the teleoperation fleet.

  • Perform quality checks on language annotations and provide feedback to the annotation team.

  • Maintain a safe environment for both yourself and the robot at all times.

  • Follow proper equipment and robot service procedures, including bring-up and shutdown and physical inspection.

  • Write documentations, SOPs, and troubleshooting guidance.

  • Evaluate a robot foundation model’s performance by observing and documenting robot behavior and analyzing root cause.

Requirements:

  • Strong attention to detail and proactive mindset.

  • Ability to follow written and verbal instructions precisely.

  • Comfortable working on feet and, potentially, in VR environments.

  • Must demonstrate curiosity, coachability, and consistency.

  • Able to lift up to 50 lbs when staging environments / supporting robot operations.

  • Excellent written and verbal communication skills.

  • Embrace constructive feedback and strive for constant improvement.

  • Adapt quickly to changing priorities in a dynamic R&D environment.

  • Maintain high quality work and efficiency while working with little supervision.

Bonus Qualifications:

  • Linux OS experience and familiarity.

  • Programming experience with Python or other languages to automate scripts.

  • Mechanical hardware assembly and troubleshooting experience.

  • Prior robot teleoperation experience.

  • Familiarity with bash, shell, and/or terminal commands.

  • AI/Machine Learning experience or projects.

  • Excellent physical coordination, spatial awareness, and focus.

  • Master new physical tasks quickly and optimize for performance

Top Skills

Linux
Python
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The Company
32 Employees

What We Do

Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, so humans can focus on creativity, curiosity, and what we love.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI. Our team brings together the minds behind many of the most significant advances in robotics and AI in recent years — spanning the full stack.

We introduced generative simulation, created foundational platforms such as Genesis, Jiminy, Flightmare, GVBD Voxels, and invented the IPC algorithm. We led the development of the first multimodal models at Mistral AI and Apple Intelligence. We co-created UMI and Diffusion Policy, pioneered reinforcement learning frameworks for superhuman drone racing, and scaled robotic data systems at NVIDIA GR00T. We built cross-platform GPU compilers such as VeriGPU, DeepCL, Coriander, and the original PyTorch. We also built industry-leading rendering engines at Google, Epic and Unity. Now, we’ve come together at Genesis AI to close the loop, and build what’s next.

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