Data Collection Operator

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Job Responsibilities:

We're hiring Teleoperators to support robotics and physical AI programs. In this role, you'll operate robotic 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 robots learn and perform.

Operate robots using teleoperation systems, controllers, or software interfaces

• 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 robot 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

High school diploma or equivalent (Bachelor's preferred but not required)

• 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
• 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
• 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 15 lbs
• Repetitive task execution with a focus on consistency and quality

Fast-paced environment with frequent updates to tasks and workflows