About The Role

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Job Responsibilities

We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models.

This is hands-on, execution-focused work. You’ll be working with real hardware in structured environments, following defined scenarios, and helping produce the data that directly shapes how physical AI devices learn and perform. What You’ll Do

Operate physical AI data devices
Execute structured tasks (e.g., navigation, pick/place, object interaction) across different environments
Follow detailed instructions and adapt to evolving guidelines
Capture and validate data (video, sensor inputs, task logs) during operation
Identify and flag edge cases, failures, or unexpected system behavior
Maintain consistency and accuracy across repeated task runs
Partner with onsite teams (engineering, QA, program leads) to improve workflows
Support fast iteration cycles as tasks, tools, and priorities evolve

Additional Job Details

What Good Looks Like

High consistency and repeatability across tasks
Strong attention to detail and ability to follow structured instructions
Comfortable learning new tools and working with physical systems
Good judgment in identifying issues and escalating clearly
Reliable in fast-paced, changing environments

Basic Qualifications

Bachelor’s degree or equivalent work experience
Experience with gaming, simulation tools, or technical systems is a plus
Strong hand-eye coordination and spatial awareness
Comfortable using controllers, keyboards, or specialized interfaces for extended periods
Basic computer skills, including PC and Linux troubleshooting.
Working knowledge of MS Office and Google Drive
Ability to follow detailed procedures with high accuracy
Clear written and verbal communication skills

Preferred Qualifications

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
Ability to quickly learn new software applications
Interest in AI, robotics, or emerging technologies
Experience working in structured, metrics-driven environments

Work Environment & Physical Requirements

Onsite lab environment (robotics lab, warehouse, or simulated real-world setup)
Must be able to stand for extended periods during shifts
Must be able to occasionally lift and/or move up to 75lbs
Repetitive task execution with a focus on consistency and quality
Fast-paced environment with frequent updates to tasks and workflows

Why This Role Matters

The data generated in this role directly impacts how physical AI systems learn to operate in the real world. Strong execution here leads to better, safer, and more reliable autonomous systems.