Data Collection Operator (2nd Shift)

San Francisco

Friday, 22 May 2026

We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000 experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, E - Vs, rail, and more. As part of the global ALTEN Group—57,000 engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Location: San Francisco, CA (Dogpatch Area)Shift Hours: 2nd Shift (2:30 pm - 11:00 pm) We are looking for hands-on individuals to operate multiple robotics platforms and collect high-quality raw data through various collection methods, including teleoperation via VR headsets (Apple Vision. Pro) and motion capture systems (suits and gloves). The candidate will: Collect data on our specific robotic platforms via teleoperation with a vision pro Collect data in a motion capture setup, doing tasks with their own hands Perform some simple annotations and quality control on the data they collect The candidate should have: Experience running basic commands on a terminal Good attention to detail Generally good coordination skills/dexterity General strength/health to collect data for a few hours in a row (breaks are encouraged, but it can still be tiring) Good vision (doesn't need glasses) or can wear contacts (in order to operate the Vision Pro) Bonus points for: Software familiarity Experience operating robots Experience with data collection or annotations Compensation Range: $30/hour The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

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