AI Engineer Intern (Game Development)

WHAT YOU WILL BE WORKING ON
Main challenge
You’ll help build a high-quality computer vision dataset at scale (~1,000 real-world objects) that powers reliable object recognition.
The challenge is ensuring data consistency and quality across diverse real-world conditions like lighting changes, occlusion, motion blur, and reflections.
What it means on a daily basis
Organize, clean, and structure large image/video datasets (naming, metadata, removing duplicates, filtering low-quality samples)
Annotate data accurately and follow labeling standards to ensure consistency at scale
Track dataset progress, coverage, and versioning (logs, changelogs, dataset updates)
Perform quality checks and continuously improve dataset reliability through structured QA
Work closely with AI engineers to refine data based on model performance and edge cases
Who you would be working with
AI, Data, and programmer teams contributing to dataset quality and workflows
Cross-functional teams, depending on project needs
WHAT YOU NEED TO SUCCEED
Basic understanding of computer vision tasks (classification, detection, segmentation)
Familiarity with handling large datasets (images/videos) and maintaining structured documentation
Attention to detail in data annotation and quality control
Basic Python knowledge (for simple scripts, validation, or formatting tasks)
Understanding of real-world data challenges (lighting, occlusion, motion blur, etc.)
WHO YOU ARE
Highly detail-oriented and patient, with the ability to maintain accuracy in repetitive tasks
Organized and methodical in managing data and documentation
Proactive in identifying data issues and suggesting improvements
Comfortable working both independently and in a collaborative environment
Curious about AI, computer vision, and how models improve through data
Your recruitment journey
(1) Screening call
(2) Test
(3) Interview
(4) Offer

Employment type
Intern

Work arrangement
No