Ipsos iSay

Survey Respondent in Malaysia


About the company

Ipsos iSay is a rewards community dedicated to ensuring your valued opinion makes a difference for societies, governments and brands. There are millions of Ipsos iSay members across more than 50 markets globally. Ipsos iSay is a part of Ipsos, one of the world’s largest market research firms.

Job description

We're hiring a Survey Respondent to provide invaluable insights across varied topics, directly influencing strategic decisions for companies and institutions. This role critically impacts product development and policy formulation, operating fully remotely with flexible, self-paced participation options. Key Responsibilities: - Complete paid online surveys matched to your profile and interests, contributing valuable feedback to evaluate new product concepts and advertisements. - Share opinions on diverse topics such as consumer trends, technology, and healthcare, influencing decisions made by leading global companies and institutions. - Participate in exclusive research studies and specialized panels through the Ipsos global network, optionally testing products for higher payouts and unique insights.

Job benefits

- Earn iSay points for every completed survey, typically $0.45 to $2.00, with specialized studies offering higher payouts and bonus points for screening out. - Enjoy a fully remote, flexible, and self-paced schedule with no set hours or minimum commitments, choosing when and how often to participate. - Cash out rewards from $5.00 via PayPal or gift cards from Amazon, Apple, and other retailers, with instant delivery for cards or 1-3 weeks for PayPal.

Job requirements

- No prior experience needed, as your honest opinions are the sole requirement for participation in various survey opportunities. - Access to a smartphone, tablet, or computer with a reliable internet connection is essential for completing online surveys effectively. - Demonstrate a willingness to provide honest, thoughtful answers to survey and screening questions, ensuring high-quality data contribution.