Robotics Data Collection Engineer – Automation, Robotics & Controls (ARC) AI Team Location: Full-time onsite in Warren, MI --- Position Summary Join Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this hands-on role, you will work directly with advanced robotic systems to collect, organize, and validate training data that enables AI-powered robotic manipulation in automotive manufacturing. You will contribute to building the datasets that power the next generation of intelligent manufacturing automation at Warren Technical Center. --- Key Responsibilities · Collect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environments. · Operate and monitor robotic systems, GELLO teleop interfaces, and data collection hardware. · Organize, label, and validate data according to established annotation guidelines and quality standards. · Perform manual annotation and verification when necessary to generate high-quality ground truth labels. · Execute data collection campaigns following documented protocols and experimental designs. · Troubleshoot data collection issues and document problems for engineering teams. · Collaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requirements. --- Required Qualifications · College or bachelor’s degree in engineering (Mechanical Engineering or Electrical Engineering preferred). · Ability to work on-site at Warren Technical Center, 5 days per week. · Attention to detail and ability to follow technical procedures and documentation. · Reliability, accountability, and ability to work independently and as part of a team. · Strong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic arms. · Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipelines. · Proven experience working directly with perception sensors and hardware, with a solid understanding of capturing and validating high-quality sensor data. --- Preferred Qualifications · Experience with robotics, manufacturing, or data collection. · Familiarity with Python, Linux, or data tools (beneficial but not required). · Experience operating or troubleshooting technical equipment. · Basic understanding of machine learning, AI, or data annotation concepts. · Experience in automotive or manufacturing environments. --- What is Offered · Hands-on experience with cutting-edge robotics and AI technology. · Opportunity to contribute to transformative manufacturing automation. · Collaborative team environment with world-class engineers and researchers. | 
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