Project Hydra | Data Collection Operator

Data Collection Operator

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.

Project Details

• Location: 100% Onsite (Santa Clara, CA)
• Employment: Full time W-2, 5 days/week
• Morning Shift: 7:00 AM to 3:30 PM | $35/hour
• Night Shift: 3:30 PM to 12:00 AM | $38.50/hour
• Physical Commitment: Must be able to stand for several hours and carry up to 75 lbs.
• Start Date: ASAP

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.

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

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

$35 - $38.50 an hour

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.