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Data Collection Assistant/Technician-(AI Training)

Open 31d
This position is no longer accepting applications(closed Aug 17, 2026).

Summary

Assists in collecting, organizing, and annotating X-ray baggage images for AI training in security screening, using basic image tools and following strict data protocols.

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

See also

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