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Workstream Platform Services Limited seeks individuals currently working in construction sites, repair workshops, auto shops, carpentry facilities, or skilled trades to participate in a first-person video data collection project.
You will wear a lightweight head-mounted camera harness during your regular working shift to record your natural, hands-on tasks. The footage will be used to train and validate robotics systems for real-world hand movements and spatial awareness.
Note: This opportunity is intended to complement your existing job or business. Contractors record authentic workplace activities as part of their normal work-not staged demonstrations-and are compensated only for footage accepted by Workstream.
Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models.
This is a project-based independent contractor opportunity designed to provide supplemental income.
Workstream is seeking individuals currently working in construction sites, repair workshops, auto shops, carpentry/woodworking facilities, or skilled trade environments to participate in a first-person video data collection project.
In this role, you will wear a lightweight head-mounted camera harness during your regular working shift to record your natural, hands-on tasks. The video footage you collect will be used to train and validate next-generation robotics systems, helping AI and autonomous robots learn real-world hand movements, object manipulation, and spatial awareness in food service environments.
This is a flexible, supplemental earning opportunity that allows you to earn extra income while performing your standard daily work routines.
You will film natural, continuous hands-on tasks in your workplace environment across any of the following areas: