Ipsos iSay

Survey Respondent in Jiangyin


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, integrating user feedback directly into the decision-making processes of leading companies. This role profoundly impacts product development and services from your remote location in China, providing valuable insights to global brands and institutions. Key Responsibilities: - Complete online surveys accurately, evaluating new product concepts and advertisements to provide critical consumer perspectives influencing market trends. - Share thoughtful opinions on diverse subjects, including consumer trends, healthcare, and technology, directly shaping future product and service offerings. - Participate in exclusive research studies and product tests, contributing valuable real-world feedback that informs significant strategic business decisions.

Job benefits

- Earn iSay points for each completed survey, with typical payouts ranging from $0.45 to $2.00, allowing cash-out from just $5.00. - Benefit from a fully remote, flexible, and self-paced work environment, allowing you to choose when and how often you participate without minimum commitments. - Access diverse reward options including PayPal cash, Visa prepaid cards, and gift cards from popular retailers like Amazon, offering instant delivery for many choices.

Job requirements

- No prior professional experience is required; we value your honest, thoughtful opinions above all else for meaningful feedback. - Possess reliable access to a smartphone, tablet, or computer with an active internet connection to complete surveys efficiently. - Demonstrate a willingness to provide sincere, detailed answers to all survey and screening questions, ensuring high-quality data for research purposes.