Face Deduplication Collection (Freelance)
- Canada
- Télétravail
- Publié 18 sept. 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Temps partiel
- Niveau d’expérience
- Débutant, Junior · 0+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Entry level
Résumé du poste
Collect and submit a diverse dataset of neutral selfies, head-pose captures, and historical facial images. These images will be used to support machine-learning research and facial recognition model training.
Détails du poste
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: • Current Neutral Selfies – clean frontal selfies serving as high-quality identity references, with natural variation in appearance and surroundings. • Current Head-Pose Captures – selfies captured in assigned head directions to introduce pose variation. • Historical Images – older photos from participants’ galleries to capture natural aging and long-term appearance changes. To qualify for payment, you must submit a minimum of 20 valid images. The maximum payout is based on 24 accepted images. Due to the strict automated and manual Quality Control (QC) process, we strongly recommend submitting 30 images to help ensure that enough images remain valid after review The project compensation rate is $0.55 USD per accepted image. Note: Please use a Gmail address as your primary account when applying for this project. Qualification path No specific education is needed to perform the project task.
Ce que vous ferez
Collect and submit a diverse dataset of neutral selfies, head-pose captures, and historical facial images. These images will be used to support machine-learning research and facial recognition model training.
Exigences
Participants must be able to provide a minimum of 20 valid images and use a Gmail address for application. No specific educational background is required for this task.
Compétences indiquées
- Control · Souhaitée
- Sens de l’organisation · Souhaitée
- Training · Souhaitée
- Souci du détail · Souhaitée
- Quality Control · Souhaitée
- Process · Souhaitée
- Apprentissage automatique · Souhaitée
- Accuracy · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Data Collection
- Photography
- Digital Image Submission
Domaines d’emploi
- Data & Analytics
- Science & Research
- Technology
- Administrative
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