Job description
The objective of this project is to collect a large and diverse dataset of current neutral selfies, head-pose captures, and historical facial images to support machine-learning research and facial recognition model training at TELUS.
The focus is on capturing real-world variation across lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness. The collection includes:
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Current Neutral Selfies
– clean frontal selfies serving as high-quality identity references, with natural variation in appearance and surroundings.
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Current Head-Pose Captures
– selfies captured in assigned head directions to introduce pose variation.
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Historical Images
– older photos from participants’ galleries to capture natural aging and long-term appearance changes.
To qualify for
📌 Remote: Face Deduplication Collection (Volpiano)
🏢 TELUS Digital AI Data Solutions
📍 Volpiano
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