Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)
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).
Attention to detail and ability to follow technical procedures and documentation.
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.
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