A global crowd

Every Rapidata job reaches people in 190+ countries. Every job result returns country, language and demographic metadata with each response, so you can compare regional preferences and tendencies. Additionally you can filter people that have solved your gold standard problems accurately with custom audiences.

01global signal

A global preference signal

People in different regions can judge the same output differently. In our 20,000-response kiki–bouba audio study, Japanese speakers matched the spiky shape to “kiki” 78% of the time, Arabic speakers only 42%.

If all your raters come from one area, your results reflect that area's taste. Rapidata jobs run on a global crowd by default, so you get a signal that holds across markets, and the metadata on each response shows you where opinions split.

02custom audiences

Your own audience

Create a small set of gold standard tasks: examples where you know the right answer. People have to solve them accurately before they get to work on your data.

The audience is saved, so you can reuse it across jobs instead of qualifying raters again.

03language

Filtering by language when the task requires it

Some tasks only make sense to people who speak the language: rating speech or TTS audio, judging text rendered inside an image or video, or reviewing an LLM answer in Japanese. For those, you can directly filter for the target language.

Multilingual & demographic evaluation FAQ

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Rapidata's crowd of 32M+ people spans 190+ countries, every job reaches that global crowd by default, and you can filter by spoken language when the task depends on it.

Yes: every response carries the rater's country, language, age and gender, so you can break results down afterwards; up-front demographic targeting is available on the Custom plan for studies that need it.

Stratified panels are usually drawn from a few English-speaking markets, while Rapidata reaches 190+ countries by default and returns demographic metadata with every response, so you can stratify results afterwards and get them in hours.

Run the same side-by-side evaluation once per target language with native speakers from the countries you serve, then compare win rates per locale; Rapidata does this from a single API call per language.