Basic Information
Država
Job Type
Work Style
Salary range
Description and Requirements
TELUS International is seeking participants for an onsite study just south of Glendale.
Earn $300 for completing a 3-hour session
Be photographed or video recorded following directives from our team for a total duration of 3 hours (including short breaks)
Wear form-fitting compression tops and shorts provided on-site
Agree to body composition measurements to be taken during the study
All ages 13-75 are qualified to participate
13-17-year-olds need a legal guardian to register, provide consent, and need to be accompanied for the session
Must be able to read, speak, and understand instructions provided in English
Must be a US citizen, legal permanent resident, or authorized to work in the USA (proof will be required)
Additional Job Description
During your session onsite, you will be photographed and video-recorded while performing basic movements, which may include walking, sitting, standing up, different gestures, or facial expressions. You may be interacting with props and furniture. The study will also collect photos, videos, and audios and measurements of individuals’ head, face, and hands in still and moving poses, under various lighting conditions. Finally, a specialist will make an impression of your outer ear. The tasks can be easily completed by anyone and do not require prior experience or special skills.
Payments will be made via Hyperwallet, where you can choose PayPal, bank transfer, or Venmo as the payment method.
Any information you provide in connection with the Project will be kept secure & confidential. Your data is protected by our Privacy Policy.
TELUS International will contact selected participants to book an appointment.
TELUS International is committed to reducing harmful biases in AI. You will be asked to provide certain physical information in registering. This information will be used to ensure that this study is an accurate representation of the community. Read more about harmful bias in AI and our efforts to counter it here: https://www.telusinternational.com/articles/7-types-of-data-bias-in-machine-learning
EEO Statement
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