Why this grade
This listing scored 46/100, which is a D. It lost the most ground on remote clarity.
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Corroboration 7 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Remote clarity 3 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
research
The project compensation rate is $0.55 USD per accepted image.
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
Note: Please use a Gmail address as your primary account when applying for this project.
Qualification pathNo specific education is needed to perform the project task.
Apply for this role Opens remotive.com — the link as listed; we have not yet verified it is the employer's own page
Where this listing came from
- 14 Aug 2026 Remotive first sighting
Seen on 1 board over 29 days.