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
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.
Life at 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.
How to proceed
Ready to level up your career? Apply now and help us create the next great game!
Please note
To ensure a fair and compliant recruitment process under the General Data Protection Regulation (GDPR), please submit your application through the official job posting, preferably via Gameloft website, Gameloft or Gameloft Vietnam LinkedIn pages, or SmartRecruiters. Applications sent via email or LinkedIn messages will not be considered.
Due to the high volume of applications, only candidates whose profiles most closely match the role needs will be contacted by our recruiters. We sincerely appreciate your understanding and interest.
What's more?
Want to know more? Visit our websites:
Saigon Studio website
LinkedIn page
Facebook page
Check out some projects at Saigon Studio:
Dungeons & Dragons®
Asphalt 8 - Coin Rush Trailer
Asphalt Legends Unite - Launch Trailer
Gangstar Vegas
Applaydu Season 6
Claynosaurz - Gameloft x Claynosaurz Partnership Announcement
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