Introducing Audience Finder: Find the people you need in seconds

Finding the right people to train and evaluate your models shouldn't be the hardest part of your project — but too often, it is.

You know who you need, but finding them means sifting through outdated documents, juggling signups, and sitting through sales calls, all before you even know if they have the people you're looking for.

That's why we built Audience Finder: an AI-powered search engine that lets you find the exact participants you need in seconds, not weeks, from a globally diverse pool. No forms, no calls, no commitments. Just live, transparent access to who is in our 200k+ human data pool, refreshed in real time.

The trade-off between quality and speed 

Today, AI teams face a difficult choice. Move fast and trust vendor claims about their AI trainers and raters, at the risk of spending months working with non-ideal human data. Or spend weeks sourcing trainers and verifying quality while competitors ship ahead of you.

Most human data providers can't show you who's actually in their pool until after lengthy onboarding. Even then, the data is static and quickly outdated, with little transparency into their specializations or demographic distribution.

Audience Finder eliminates this trade-off by turning what’s usually a black box process into a glass box. No vague promises or hidden processes. Just search for whoever you need, in your own words, and instantly see how many people match your criteria and are ready to start.

Building domain-specific AI requires quality at scale

If you’re building a domain-specific AI agent, you know that striking a balance between having highly qualified experts, and having enough of them to train and test your model, is no easy task. It’s also not a one-and-done process. Industries are constantly changing – new laws, medical discoveries, and scientific theories mean models need to be reviewed, refined, and improved to match the pace and changes of different industries. 

That's why Audience Finder goes beyond just numbers – it also shows you verified specialisms. You can see healthcare professionals with confirmed credentials, software engineers with demonstrated coding ability, and native speakers across multiple languages. So you’re not just finding people. You're finding the right people, pre-verified for your specific needs.

Building global AI requires globally representative datasets

Domain expertise alone isn’t enough. To truly embody humanity, AI training data must also be culturally nuanced, diverse, and inclusive of wide-ranging tastes, opinions, and ways of thinking.

Feeding models homogeneous data leads to critical issues:

• Bias and discrimination: Models perform worse on underrepresented groups, amplifying stereotypes and unfair treatment.
• Cultural exclusion: Perspectives, languages, and traditions outside the dominant culture get erased, misrepresented, or lost.
• Misinformation and misinterpretation: Without cultural context, outputs can be inaccurate, misleading, or offensive in different regions.

AI absorbs and magnifies the worldview that it's given. A narrow slice of humanity produces a narrow, flawed model of the world.

To create AI that works fairly for everyone, the humans in the loop must reflect our global diversity — across demographics, life experiences, belief systems, and cultural contexts. This is how we move beyond generic crowd consensus to rich, multidimensional feedback that captures the full spectrum of human perspective.

Your Human Intelligence Layer, instantly visible

Audience Finder gives you a real-time preview of our vetted, diverse participant pool. Most data providers can't show you this level of detail because they use hired annotation teams designed to prioritize throughput over nuance. Prolific's platform model — direct access to 200K+ verified individuals — makes this transparency possible.

Type what you're looking for, in your own words, to find the exact people you need — anything from "Spanish speakers skilled at AI evaluation" to "Bachelor's degree holders who voted in the 2020 US election."

Before you even create an account, you can see exactly who we have and decide if they're the right fit. Building representative, high-quality human datasets has never been faster or more transparent.

See who’s ready to help you build better models. Search our 200k+ participants now.