Robotics Data Collection Technician (Onsite)

Wal-Mart; Mountain View (CA); On-site; USD 41,000 - 50,000; Full time

Job summary

FocusKPI is seeking a Data Collection Technician with Robots to join a high-tech SaaS client's Robotics Data Collection Contractor team in Mountain View, CA. You will operate robotic hardware and data-collection infrastructure to gather CV, teleoperation, and human-demonstration datasets for robotic tasks.

The ideal candidate has hands-on data collection experience with robots, cameras, and sensors, and can follow experimental protocols with researchers.

Qualifications

• Bachelor's degree in any field; ABachelor's degree in engineering is a huge plus.
• 3-5 years of experience ideal; 2-3 years of teleoperating robots minimum.
• Prior experience working with robots (arms and humanoids) and teleoperation systems is required.
• Experience with robot operation and teleoperation devices, camera calibration.

Responsibilities

• Collect robot demonstration and environment data using predefined protocols.
• Operate robots, grippers, and teleoperation devices.
• Assist data collection and data-driven work.
• Set up and calibrate cameras, sensors, and data acquisition systems.
• Help set up the computer vision annotation pipeline.
• Ensure synchronization of vision, robot state, and sensor data.
• Verify data quality and identify failed or corrupted demonstrations.
• Document experimental conditions and maintain records.
• Organize, label, upload, and maintain datasets.

Skills

Teleoperation

Robot operation

Data collection

Camera calibration

ROS/ROS2 familiarity

Robotics hardware

Cameras and sensors

Independent work

Documentation

Communication skills

Education

Bachelor's degree

Engineering degree preferred

Tools

Teleoperation devices

Cameras

Sensors

Job description

FocusKPI is seeking a Data Collection Technician with Robots to join a high-tech SaaS client's Robotics Data Collection Contractor team in Mountain View, CA. You will operate robotic hardware and data-collection infrastructure to gather CV, teleoperation, and human-demonstration datasets for robotic tasks.

The ideal candidate has hands-on data collection experience with robots, cameras, and sensors, and can follow experimental protocols with researchers.