Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: The Labeling team delivers algorithms, tools and infrastructure to provide labels that can be used by Perception, Motion Planning, and other ML teams for training and evaluation. The team works closely with manual labeling efforts and infrastructure to create a data centric ecosystem needed to develop real time, safety critical ML models for autonomous driving. We are looking for a LabelingAnalyst to review and ensure a high quality of labels delivered to our Autonomy teams. The job entails operating internal and third party tools to visualize labels and checking if they meet our quality and labeling standards.
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Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
101-250 employees