Data Collection Operator

Welocalize • San Francisco, CA

2d • Onsite

About The Position

We’re hiring Teleoperators to support robotics and physical AI programs. In this hands-on, execution-focused role, you’ll operate robotic systems using teleoperation tools or guided interfaces to generate high-quality real-world data used to train and evaluate AI models. You’ll work with real hardware in structured environments, follow defined scenarios, and help produce data that shapes how robots learn and perform.

The role involves performing structured tasks across different environments, capturing and validating data, and identifying unexpected behavior. You’ll maintain accuracy across repeated task runs and partner with onsite teams to improve workflows while supporting fast iteration cycles as tasks, tools, and priorities evolve.

Requirements

• High school diploma or equivalent.
• Strong hand-eye coordination and spatial awareness.
• Comfort using controllers, keyboards, or specialized interfaces for extended periods.
• Ability to follow detailed procedures with high accuracy.
• Clear written and verbal communication skills.
• Ability to stand for extended periods during shifts.
• Ability to occasionally lift and/or move up to 15 lbs.

Nice To Haves

• Bachelor’s degree (preferred but not required).
• Experience with gaming, simulation tools, or technical systems.
• Exposure to robotics, autonomous systems, drones, or simulation environments.
• Experience with teleoperation, remote control systems, or QA/testing workflows.
• Familiarity with data collection, logging, or annotation processes.
• Interest in AI, robotics, or emerging technologies.
• Experience working in structured, metrics-driven environments.

Responsibilities

• Operate robots using teleoperation systems, controllers, or software interfaces.
• Execute structured tasks, such as navigation, pick/place, and object interaction, across different environments.
• Follow detailed instructions and adapt to evolving guidelines.
• Capture and validate data, including video, sensor inputs, and task logs, during operation.
• Identify and flag edge cases, failures, or unexpected robot behavior.
• Maintain consistency and accuracy across repeated task runs.
• Partner with onsite teams, including engineering, QA, and program leads, to improve workflows.
• Support fast iteration cycles as tasks, tools, and priorities evolve.

What This Job Offers

• Job Type: Full-time
• Education Level: High school or GED