Total 46 Internship system engineer job vacancies

Position Overview
We are looking for an AI Engineer Intern to support our object recognition initiative by building a high-quality computer vision dataset at scale (~1,000 physical objects).

This role focuses on data preparation, annotation, and quality assurance to ensure reliable model training and robust real-world performance (e.g., varying lighting, occlusion, motion blur, reflections). You will collaborate closely with AI engineers to define labeling standards, execute annotation efficiently, and continuously improve dataset quality through structured iteration.

Key Responsibilities

• Prepare and manage datasets: organize, clean, label, and maintain structure, metadata, and version tracking
• Ensure data quality: remove low-quality samples, handle edge cases (lighting, occlusion, blur, reflections), and support additional data collection
• Collaborate with AI engineers to iterate on datasets based on model performance and error analysis
• Support model evaluation: prepare test sets and review error patterns to improve data quality
• Build basic Python scripts for dataset validation and format conversion
• Gain exposure to training/evaluation workflows, real-world constraints (device performance, latency vs. accuracy), and cross-team collaboration (Data, AI, Game/Engine)