Data Collection Specialist (Household Task Video Contributor)

What You'll Do: Record first-person video of everyday household tasks using an iPhone/Android phone mounted on a head-mounted capture rig (which is easily available on Amazon/Walmart/etc.) Perform structured activities such as cleaning, folding laundry, organizing items, food preparation, and similar home interactions relevant to robotics learning. Follow detailed capture protocols for framing, motion quality, task execution, file naming, and submission requirements. Review recordings for completeness and quality before upload, then transfer files to the designated storage platform on schedule. Maintain consistent output each week and communicate promptly about blockers, device issues, or protocol questions. Required Equipment Access to an iPhone/Android phone capable of recording clear video in at least 1080p. Willingness to place the iPhone/Android phone on a head-mounted capture device for recording sessions. Comfortable home environment where assigned household tasks can be performed safely and repeatedly.

Required Qualifications: Strong attention to detail and ability to follow SOPs and technical instructions precisely. Comfort using mobile devices, apps, and upload tools for data collection workflows. Reliable time management and dependable weekly output. Ability to perform light to moderate physical household tasks safely, including standing, reaching, grasping, and repeated motion. Clear written communication for reporting issues and confirming submission status.

Preferred Qualifications: Prior experience with video data collection, annotation, robotics, motion capture, or embodied AI projects. Familiarity with structured datasets, quality control processes, or action labeling workflows. Experience working in remote contractor environments with defined weekly production targets. Strong contributors produce consistent, usable recordings that clearly capture hand-object interactions and household behaviors from a first-person perspective. This data helps train robotics systems to better perceive, understand, and act in real-world home environments