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

• 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.)

• 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

• (1) Screening call
• (2) Test
• (3) Interview
• (4) Offer

WHAT'S IN IT FOR YOU

• Internship allowance from VND 6,000,000 gross/month (based on candidates' competencies and committed working days).
• 1 day of paid annual leave per month, Christmas leave, Birthday leave, CSR leave, paid sick leave.
• Various training packages, including internal training and e-learning platforms (iLearn, Udemy, O'Reilly,...).
• Opportunities to collaborate and train with Gameloft worldwide experts and develop yourselves.
• A range of well-being events and policies to support employees physically, mentally, and emotionally.
• The opportunity to become an official employee of Gameloft.

• A collaborative workplace environment, with over 15+ nationalities, where hundreds of world-renowned game titles were born.
• An open-space office, a canteen, a billiard table, a ping-pong table, and a foosball table.
• A gaming room equipped with mutiple devices (PS, Xbox, Nintendo Switch, arcade machine,...).
• A capable and encouraging team of professionals focused on creating compelling video games.
• A global company where you can meet great people around the world.
• A fun place to work in the heart of the city.