Make $500! Paid Onsite Research Study in the US
- Part-time
- Remote: No
- Company: Telus International AI Data Solutions
Company Description
Company Description
TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video, and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with a passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com
Job Description
Jump on this unique opportunity to make $500 by sharing data on app usage.
TELUS International is looking for people interested in joining an onsite study in the US
Requirements:
✔ Participants must be 18 years old and above
✔ Be a US citizen or be legally allowed to work in the United States
✔ Proficient in the English language
✔ Must be able to attend a session onsite at a venue near you
✔ Must be willing to share data from your smartphone
You will be greeted by our onsite facilitator who will guide you through the process.
Compensation: $500 for a successful session.
Duration: Approximately 4 hours
Sounds interesting? Click the link to begin your application: https://agave-88340.web.app/registration-form
Payments will be made via Hyperwallet, where you can choose the payment method of payment: PayPal, bank transfer, or Venmo.
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
Additional Information
All your information will be kept confidential according to EEO guidelines.