Ipsos iSay

Survey Respondent in China


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 share opinions on various topics, including new products, advertisements, and consumer trends, providing critical market insights. This role creates impact by directly influencing global business decisions, operating remotely with flexible engagement from any location with internet access. Key Responsibilities: - Complete paid online surveys matched to your profile and interests, diligently contributing insights for evaluating product concepts and brand experiences. - Provide honest, thoughtful feedback on diverse topics like consumer trends, shopping behaviors, and public policy, shaping future market strategies effectively. - Participate in exclusive research studies and specialized panels through Ipsos' global network, enhancing data collection and market understanding.

Job benefits

- Earn iSay points for every completed survey, with typical payouts of $0.45-$2.00 per survey and estimated annual earnings reaching $75 to $200+. - Enjoy a fully remote, self-paced opportunity with no set hours or minimum commitments, allowing participation at your convenience anytime. - Receive 100 bonus points for each friend successfully referred, and access various reward options like PayPal cash and Amazon gift cards.

Job requirements

- 0+ years experience in providing opinions and feedback for market research, directly influencing product development and strategic business decisions. - Possess access to a smartphone, tablet, or computer with a reliable internet connection to complete surveys online or via the mobile app. - Demonstrate a willingness to provide honest, thoughtful answers to survey and screening questions, ensuring high-quality data contribution.