Robotics Data Collection Engineer
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Job Location:
Warren, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Position: Robotics Data Collection Engineer
Location: Warren Michigan (Onsite)
Duration: 12Months with possible extensions
Main Skills: Senior Robotics Data Collection Engineer (MLE Python Cloud exp Linux)
Position Summary:
Join Automation Robotics & Controls (ARC) AI team as a Robotics Data Collection 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 bachelors 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.
