What are the responsibilities and job description for the Senior Robotics Data Collection Engineer - Only W2 position at Saransh Inc?
Role: Senior Robotics Data Collection Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)
Key Responsibilities
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
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.
- 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.
- 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.