- 18 BOON LAY WAY West Region (Singapore) Singapore

Working Location
Job Description
Responsibilities
About the Role
We are seeking a detail-oriented and tech-savvy individual to support our AI development team by collecting, organizing, and annotating X-ray images of baggage for machine learning purposes. This role is critical in building high-quality datasets that will be used to train advanced computer vision models for security screening applications.
Key Responsibilities
· Assist in the setup and operation of X-ray scanning equipment to capture baggage images
· Organize and catalog images according to predefined categories and metadata standards
· Perform basic image preprocessing (e.g., cropping, anonymization, format conversion)
· Annotate or label images using internal tools to identify objects of interest (e.g., electronics, liquids, prohibited items)
· Ensure data quality and consistency across the dataset
· Collaborate with engineers and data scientists to understand dataset requirements
· Follow strict data privacy and security protocols
Requirements
· Diploma in Engineering, Information Technology, Computer Science, or a related field
· Comfortable working with computers, file systems, and basic image editing tools
· Strong attention to detail and ability to follow structured workflows
· Basic understanding of data formats (e.g., JPEG, PNG, CSV) and file management
· Good communication skills and ability to work in a team environment
· Willingness to work in a secure or controlled environment (e.g., airport or lab setting)
Bonus Skills (Nice to Have)
· Experience with Python or scripting for automation
· Familiarity with annotation tools (e.g., LabelImg, CVAT, VGG Image Annotator)
· Interest in AI, machine learning, or computer vision
What You’ll Gain
· Hands-on experience in the AI data pipeline
· Exposure to real-world applications of computer vision in security and logistics
· Opportunity to work with a multidisciplinary team of engineers and researchers
· A stepping stone into the world of AI and data science
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