Robot Wrangler

Posted 15 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
Entry level
Artificial Intelligence • Automotive • Information Technology • Robotics
The Role
Operate and monitor robotic AI model tests in a laboratory, reset test scenes, record trial outcomes, transfer models and logs, and maintain accurate documentation. Set up robots, inspect equipment, perform basic calibration, respond to safety issues using emergency stops, and collect training data through manual teleoperation. The role requires careful adherence to procedures, clear communication, reliable independent work, and full-time on-site availability in San Francisco.
Summary Generated by Built In
Role Overview

Our client is an early-stage robotics company based in San Francisco that develops AI models to control robots and tests them on real robotic systems in the lab.

As a Robot Wrangler, you will support the day-to-day operation of these robots. You will run tests of AI models, monitor the robot during operation, stop the test if something goes wrong, and accurately record the results.

You may also collect training data by manually controlling the robot. No degree or previous robotics experience is required — you will receive training on the equipment, software, and procedures needed for the role.

What you will do

  • Run model tests. Download the latest model from cloud storage. Start test runs from the Linux command line.
  • Reset the scene between trials, and record whether each trial succeeded or failed.
  • Move files. Copy models onto the robot's computer. Upload logs, videos, and results to cloud storage (AWS S3
    or similar).
  • Keep people and equipment safe. Watch the robot during every run. Press the emergency stop the moment it
    does something unexpected.
  • Set up and maintain the robots. Stage equipment before each session. Power robots on and off, check cables
    and cameras, and run basic calibration steps.
  • Keep records current. Log each session. Update our written procedures when a step changes.

How you'll succeed

  • Read the procedure before each session. Ask questions before you start, not during.
  • Keep up with procedure changes for the systems you use most.
  • Arrive on time, with enough time to set up.
  • Keep the lab clean and organized so the data stays accurate.
  • Switch tasks quickly when a robot is down. Use downtime for setup, documentation, or other projects.

What we're looking for

  • Basic Linux command-line skills: running commands, moving between folders, and copying files between
    machines.
  • Stays alert during repetitive work and reacts quickly when something goes wrong.
  • Follows written procedures exactly and notices when a result looks off.
  • Clear written communication. You can describe a problem on Slack so an engineer understands it the first time.
  • Works independently once trained, and asks questions early when unsure.
  • Reliable. We want someone who will stay in this role long term.
  • Comfortable standing and moving around the lab for most of the day.
  • Able to work on-site in San Francisco full-time.

Nice to have

  • Experience collecting robot training data by teleoperation (VR headsets, leader-follower arms, or similar). You
    may also do this here.
  • Familiarity with cloud storage and tools, such as AWS S3 or the AWS command line.
  • Can troubleshoot simple hardware and software problems, and write bug reports an engineer can act on.
  • Data collection work in robotics, autonomous driving, or AI.
  • Past work as a robot operator, lab technician, or hardware test technician.
  • Some Python or shell scripting.
  • Experience with robot arms or ROS.
  • Interest in joining team standups and suggesting ways to make testing and data collection faster.

Skills Required

  • Basic Linux command-line skills, including running commands, navigating folders, and copying files between machines
  • Ability to remain alert during repetitive work and react quickly to unexpected robot behavior
  • Ability to follow written procedures exactly and identify abnormal results
  • Clear written communication for documenting issues and communicating with engineers
  • Ability to work independently after training and ask questions when uncertain
  • Reliability and interest in staying in the role long term
  • Comfort standing and moving around the lab for most of the day
  • Ability to work full-time on-site in San Francisco
  • Experience collecting robot training data by teleoperation
  • Familiarity with cloud storage tools such as AWS S3 or the AWS CLI
  • Ability to troubleshoot basic hardware and software issues and write actionable bug reports
  • Data collection experience in robotics, autonomous driving, or AI
  • Previous experience as a robot operator, lab technician, or hardware test technician
  • Some Python or shell scripting experience
  • Experience with robot arms or ROS
  • Interest in team standups and improving testing and data collection processes
Am I A Good Fit?
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The Company
HQ: Warsaw
350 Employees
Year Founded: 2017

What We Do

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. They serve as an operations partner for AI, robotics, and autonomous programs, managing complex data collection and field operations across markets. Their teams count features, take pictures, record speech, and scan areas to provide high-quality data where automation is not possible, supporting clients in making informed decisions.

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