AI Engineer Intern (Game Development)
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Requirements
- 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
Benefits
Additional Information
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.)
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Company Intel
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