"This data helps AI and robotic systems understand the physical world. Pay is shown upfront and determined based on effort and complexity of the activity. The original audio and video footage submitted by workers will be used to evaluate both the company's in-house AI models and those developed by its partners in the retail, insurance, hospitality, and technology sectors."
"One example of a task involves asking a courier to capture footage of their hands washing at least five dishes while wearing a body camera, holding each clean dish in frame for a few seconds before moving on to the next."
"The goal of Tasks is to help more businesses understand what's happening on the ground and gather new insights, all while giving Dashers a new way to earn on their own terms."
DoorDash introduced a standalone Tasks app allowing delivery couriers to earn additional income by completing activities designed to improve AI and robotic systems. Workers can film everyday tasks, record themselves speaking in different languages, or capture footage for various purposes. Payment is determined upfront based on effort and complexity. The collected audio and video data trains DoorDash's internal AI models and those of partner companies in retail, insurance, hospitality, and technology sectors. Tasks also appear within the main Dasher app, including assignments like photographing restaurant dishes or hotel entrances to assist delivery operations. This initiative mirrors similar programs by competitors like Uber, which also compensates drivers for AI training contributions.
#ai-training-data-collection #gig-economy-compensation #delivery-courier-tasks #machine-learning-datasets #doordash-tasks-app
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