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Data Pipeline Technician - Pennsauken, NJ

Open 56d

Summary

    • Data Pipeline Technicians execute and maintain the data pipeline processes designed by engineers, ensuring timely and accurate data delivery for AI development.
  • Responsibilities
    • Plan and execute data collection activities, including log road trips to gather real-world driving data across varied environments.
    • Operate and maintain specialized data collection vehicles and equipment.
    • Ingest, clean, and prepare data for annotation and AI training.
    • Perform maintenance of the AI fleet and verify quality of annotated data.
    • Ensure timely and accurate delivery of data to engineering teams.
    • Support operational needs of Engineering and other departments by providing reliable data and technical assistance.
  • Impact
    • Their reliability and attention to detail ensure the smooth operation of OEMs data-driven AI development, while also supporting data needs across the organization.
  • Required Skills
    • Data Collection and Management – ability to plan and execute large-scale data collection activities, including real-world driving scenarios.
    • Vehicle and Equipment Operation – skilled in operating and maintaining specialized data collection vehicles and hardware.
    • Data Processing – Experience in ingesting, cleaning, and preparing data for annotation and AI training.
    • Quality Assurance – ability to verify accuracy and completeness of annotated data.
    • Technical Reliability – ensure timely and accurate delivery of data to engineering teams.
    • Attention to Detail – maintain precision in data handling and equipment maintenance.
    • Collaboration and Support – Provide technical assistance to engineering and other departments.
  • Preferred Skills
    • Familiarity with AI development workflows and data annotation processes.
    • Basic knowledge of data pipeline tools and scripting (e.g. Python, Bash).
    • Understanding of vehicle systems and sensor technologies.
    • Experience with Fleet management and preventative maintenance practices.
    • Ability to troubleshoot hardware/software issues in data collection environments.

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