Live Photo Collection Study

TELUS Digital is seeking participants for a data collection study in India. Project Cassia is about collecting Live Photos of printed text and handwritten text on various materials and locations in Bangla, Gujarati, Kannada, Malayalam, Odia, Punjabi, Tamil, Telugu and Urdu.

Task requirements:

• Submitted data and the content within must meet the data requirements established in the instructions shared during the project.

• Collected data must be in Live Photo format, collected with a pre-approved mobile device.

• All text and materials submitted within Live Photos must be original and unique. No duplicate submissions will be accepted.

• No synthetic or AI-generated data will be accepted.

• To participate, you must be 18 years or older.

• You are legally allowed to work in India.

• You are able to understand instructions in English.

• Good camera skills required.

• Access to a computer, broadband internet, and relevant software.

• Independent work skills, adaptability, attention to detail, and strong communication skills.

Compensation

• You will be compensated for correctly submitted Live Photos approved by quality review.

• The payment will be processed after the Live Photo has been approved by quality review.

• Payments will be issued via Hyperwallet through the AI Community Manager Platform, where participants can choose PayPal, bank transfer, or Venmo as the payment method.

How to Apply?

Send your resume/CV with the subject: Divyang Career - Live Photo Collection Study (India) to tiai_diverse_crowd@telusdigital.com

Equal Opportunity

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.