
We're running a paid study to understand general consumer preferences and everyday habits. The insights gathered will help us evaluate various concepts and improve overall user experiences. Your honest feedback is crucial to ensuring these ideas resonate with real people.
You will participate in a 20-minute remote session where you will answer a set of structured questions. During the study, you will also complete a few small, straightforward tasks on your computer or mobile device. Afterward, you will have the opportunity to openly share your thoughts and describe your experiences in your own words. The entire process is designed to be simple, interactive, and conversational.
We are looking for everyday consumers who are comfortable sharing their honest opinions. Anyone who enjoys providing feedback on general topics and completing brief tasks is welcome to apply. We welcome participants from a wide variety of backgrounds and professions.
$20 one-time
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.

Terac is building the infrastructure layer that connects AI systems with on-demand human expertise.
We believe the future of work is shifting: instead of humans using AI to do most tasks, AI will increasingly do most work with the help of humans. In that world, companies won’t need traditional employees - but they will still need people. Terac powers that future by making high-quality human labor accessible through a single API.
Today, Terac operates as an expert network for frontier research. We handle sourcing, verification, screening, and payouts so partners can instantly access specialized talent for research, evaluation, and data generation. Our platform enables companies to tap into niche expertise on demand while focusing on building their core products.
Backed by $9M from Emergence, SignalFire, Audacious, and Z Fellows, we’re scaling from research tooling into a broader marketplace for the human data economy - building systems for expert matching, pricing, routing, and trust that will define how AI and humans collaborate at scale.