2 months ago
Shanghai, ChinaIntern

Responsibilities

  • Support development of high-quality datasets for AI model training and validation.
  • Participate in software development and system integration for quadruped robots such as Unitree GO2 and robotic arms.
  • Develop and test applications for smart glasses and related wearable devices.
  • Set up and validate simulation environments such as Gazebo and Isaac Sim.
  • Support AI/ML data annotation workflows, quality control, labeling standards, and best practices.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Automation, Electrical Engineering, Robotics, or a related field.
  • Proficiency in Python or C++ with good coding practices.
  • Familiarity with a Linux development environment.
  • Preferred: experience in computer vision or deep learning, including OpenCV or PyTorch.
  • Preferred: hands-on experience with Unitree robots or other quadruped platforms.
  • Preferred: experience developing applications for smart glasses or robotic arms.
  • Preferred: familiarity with Gazebo, Isaac Sim, or Unity.

Benefits

  • Structured training and guidance from experienced data operations specialists and AI team members.
  • Hands-on experience with industry-scale data annotation workflows across maritime, energy, and digital assurance domains.
  • Exposure to AI/ML data pipelines and labeling best practices.
  • Internship duration is 4–6 months.
  • Requires availability for at least three working days per week.
  • Onsite work is required three days per week, Tuesday through Thursday.

Tech Stack

Categories

Robotics
Det Norske Veritas (DNV)

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