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Onsite Research Study Jobs
Company | TELUS International AI Data Solutions |
Address | Lancaster, CA, United States |
Employment type | PART_TIME |
Salary | |
Category | IT Services and IT Consulting,Online Audio and Video Media,Technology, Information and Internet |
Expires | 2023-08-31 |
Posted at | 9 months ago |
Are you interested in technology? Do you enjoy contributing to product research?
TELUS International is offering an opportunity to be part of a technology study to a select group of participants.
We are looking for people interested in joining an onsite session in Downtown Los Angeles, California. The session is approximately 2 hours long, and participants will be photographed and video recorded while performing basic movements such as walking, sitting, standing up, different gestures, and/or facial expressions.
Participants will be paid $190 for a successful session. Payments will be made via Hyperwallet on the TELUS International AI Community Platform, where you can choose PayPal, bank transfer, or Venmo as the payment method.
Requirements:
- Speak and understand English.
- Have the legal right to work in the United States.
- Be willing to be present in a recorded session.
Sounds interesting? To participate, please register here:
https://fs30.formsite.com/LB2014/blf8ary0ec/index
Also, if you know anyone who might be interested in this project, please feel free to share it with them! All participants are scheduled to attend the sessions as we speak!
Any information that you provide in connection with the project will be kept confidential. The selected participants will be contacted by TELUS International with detailed guidelines on how to get started.
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 our 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
Got questions? Please feel free to contact us at [email protected]
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