Job Title: Teleoperations Technician (Night hours) Work arrangement: On-site - Mountain View, CA Schedule: Approximately any eight hours between 7:00 PM-8:00 AM PST
About the role:
We are seeking a hands-on Teleoperations Technician to support robotic teleoperations and data-collection activities. In this role, you will prepare and verify the teleoperations setup, launch the data-collection interface, operate tasks through the teleoperations GUI, and help maintain safe, reliable robot operation throughout each run.
The ideal candidate has practical experience with data teleoperations, robotics operations, lab or industrial automation, or a similar hands-on technical environment.
This is an execution-focused role: success depends on careful system checks, consistent use of standard procedures, attention to data quality, and immediate response to safety or equipment issues.
Job Responsibilities:
Inspect the camera system before each teleoperations session, including camera angle, field of view, physical connections, and system availability.
Verify that the main teleoperations system and connected equipment are ready for operation.
Use documented commands on Linux system to launch the teleoperations data collection GUI.
Start tasks through the teleoperations GUI and monitor the robot as it executes the assigned activity.
Support pick-and-place and similar tasks by resetting the scene, repositioning objects or task elements, and rerunning tasks when required.
Monitor task execution for unexpected robot behavior, system errors, camera issues, or other conditions that could affect safety or data quality.
Draft observation to the minute details as much as possible about robot observation.
Use the Fanuc teach pendant to move the robot to a safe, recoverable position and reset the task.
Record task outcomes, failures, resets, and relevant observations accurately and consistently.
Escalate recurring hardware, software, connectivity, or safety issues to the appropriate engineering or operations team.
Follow all site safety requirements, equipment procedures, data-collection protocols, and shift handoff expectations.
Required qualifications:
Demonstrated hands-on experience with data teleoperations, robotics operations, robot-assisted data collection, industrial automation, or a closely related activity.
Experience working with camera-based systems and checking hardware connections or system readiness before operation.
Comfort using Linux command-line tools and following documented startup and recovery procedures.
Ability to operate technical software interfaces carefully and consistently while monitoring a physical robotic system.
Strong safety awareness
Ability to troubleshoot methodically, stay focused during repetitive task execution, and document issues clearly.
Ability to communicate clearly with engineers, operators, and shift partners during handoffs and issue escalation.
Preferred qualifications:
Experience starting, hosting, or monitoring Docker containers and services.
Familiarity with Linux System.
Experience with Fanuc robots and Fanuc teach pendant.
Experience with robotic manipulation tasks such as pick-and-place.
Familiarity with basic robot recovery, scene reset, or task replay workflows.
Experience working in a robotics lab, manufacturing environment, test facility, or other safety-sensitive technical setting.
Work environment:
This is an on-site role performed around robotic equipment, cameras, computing systems, and associated test or data-collection hardware.
The schedule is expected to be any eight hours during the 7:00 PM-8:00 AM window.
Candidates must be comfortable working in an operational environment where sustained attention, procedural discipline, and safe interaction with robotic systems are essential.
Use of AI Technology: Unless expressly authorized in the interview/skill set validation instructions, candidates may not use AI tools or other third-party assistance during an interview or assessment to generate or provide substantive answers to interview questions. Candidates should answer organically in their own words, drawing on their own knowledge, skills, and experience. Failure to adhere to these expectations may result in the candidate being removed from consideration
Numbers & Facts
Location
Mountain View, CA
Skills
Artificial Intelligence (AI)unmatched
Automationunmatched
Command Lineunmatched
Communication Skillsunmatched
Computer Systemsunmatched
Data Collectionunmatched
Data Qualityunmatched
Dockerunmatched
Graphical User Interface (GUI)unmatched
Identify Issuesunmatched
Interviewing Skillsunmatched
Laboratory Automationunmatched
Laboratory Operationsunmatched
Laboratory Roboticsunmatched
Linux Operating Systemunmatched
Manufacturingunmatched
Roboticsunmatched
Safety Processunmatched
Safety/Work Safetyunmatched
Startupunmatched
Sustainabilityunmatched
System Operationsunmatched
System Testunmatched
Test Dataunmatched
Training/Teachingunmatched
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