W2 - Senior Robotics Data Collection Engineer

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Position

Senior Robotics Data Collection Engineer

Main Skills

Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)

Employment typ

W2

Project duratio

12 months

Location

Warren, MI,

Work mode

5 days per week from office

Travel

No

Recruitment process

General -> Technical Interview -> Manager Interview -> Client Interview

Required Start Date

ASAP

Level

Senior level

Work authorization statu

H1B and TN visa candidates can be considered. Any applicant needs to be on your W2.

Description

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.