One Time Face Deduplication Collection Project

TELUS Digital creates and enhances data to enable better AI via human intelligence, improving systems in applications such as advanced smart products, improved search results, expanded speech recognition, and human-like bot interactions. You will be contributing to a global AI Community of over one million annotators and linguists helping companies test and improve machine learning models.

In this part-time remote role working 20 hours per week, you will take on the One Time Face Deduplication Collection Project to collect a diverse dataset of neutral selfies, head-pose captures, and historical facial images. Your work directly supports machine-learning research and facial recognition model training at TELUS by capturing real-world variation across lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness.

• Experience or readiness to capture and process structured facial image datasets

• Attention to detail in documenting real-world variations such as lighting, poses, and expressions

• Reliable remote setup for data collection and processing tasks

You can manage your schedule with flexible working hours. You will work from home with home office and remote work arrangements.