Person chatting with an assistant on a smartphone
Conversational AI Data

Conversational AI Data
for Chatbots and Voice Assistants

Get real dialogues, the many ways people ask for the same thing and live testing of your bot from everyday users in the countries and languages you choose.

Text and voiceMany languagesReview every dialogue

190+

Countries

13,487

Tasks completed

12,000+

Registered workers

~4 Hours

Avg time to results

How It Works

How Conversational AI Data Collection Works

Launch a dialogue or bot testing task yourself and start receiving real conversations, without long negotiations.

Person at a laptop writing a conversational AI scenario
01 · Create

Describe the scenario

Explain the situation, the roles and what the user wants to achieve. For bot testing, add a link to your bot and a list of things to try.

  • Scenarios and roles
  • Link to your bot for testing
  • Example of a good dialogue
Laptop with a world map on screen for country and language targeting
02 · Target

Choose countries and languages

Select the countries your contributors should come from and the language they should use. See how real users in each market talk to your assistant.

  • Any number of countries in one task
  • Native speakers by country
  • You set the total volume
Person typing chat messages on a phone for a conversation task
03 · Converse

Real people write, speak or chat with your bot

Your task becomes available to workers in the selected countries. They write dialogues, record voice requests or talk to your bot and report what happened.

  • Text or voice
  • Natural everyday phrasing
  • New person in every submission
Person reviewing chat dialogue text on a computer monitor
04 · Review

Approve only the dialogues that fit

Read or listen to every submission, approve the ones that follow your scenario and reject the rest. Keep your dataset clean from the start.

  • Check every submission
  • Approve or reject each one
  • Clean data for training
Conversational Data Types

Types of Conversational AI Data You Can Collect

Set up a task for the exact conversations your assistant needs. Contributors follow your scenario and use their own words.

Intent Variations

Many ways to ask for the same thing

Give contributors a goal, such as "cancel my order", and they write or say how they would ask for it. Teach your assistant to understand real wording, not just one phrase.

  • Your list of intents
  • Text or voice requests
  • Dozens of variations per intent
Create a conversation task
Chat bubbles on a phone screen showing different ways to ask the same thing
Multi-Turn Dialogues

Conversations with follow-up questions

Contributors write full conversations where the user clarifies, changes their mind or asks again. Train assistants to keep context across several turns.

  • Several turns per dialogue
  • Clarifications and corrections
  • Scenarios you choose
Create a conversation task
Person typing a long multi-turn conversation on a laptop
Support Role-Plays

Customer support conversations, played by people

Workers play a customer with a problem and write or record the conversation with a support agent. Use them to train and test support bots.

  • Realistic customer problems
  • Fictional personal details only
  • Text or recorded with a partner
Create a conversation task
Two people role-playing a customer support call
Live Bot Testing

Real people talk to your bot

Share a link to your chatbot or voice assistant. Contributors try the tasks you list and report where the bot failed, misunderstood or gave a wrong answer.

  • Link to your bot in the task
  • Report of every failure
  • Rating of the conversation
Create a conversation task
Person testing a chat window on a laptop and reporting results
Voice Requests

Spoken requests for voice assistants

Contributors record themselves asking an assistant for help, the way they would at home or in the car. Get real accents, pauses and phrasing.

  • Natural spoken requests
  • Accents by country
  • Transcript on request
Create a conversation task
Person speaking to a phone in a kitchen for a voice assistant request
Local Phrasing

How people really talk in each market

Native speakers write requests with everyday slang, mixed languages and regional expressions. Make your assistant sound local, not translated.

  • Slang and informal wording
  • Mixed languages like Hinglish
  • Regional expressions
Create a conversation task
Friends chatting in a café representing local everyday phrasing
Task Example

Dialogues With Intent Labels
in One Task

Ask contributors to name what the user wanted next to every dialogue. You get conversations with labels, ready for training.

Your setup

What you set up

Task settings

Choose Text or Audio collection, describe the scenario and roles, and ask workers to name the user's goal at the end.

  • Text or audio collection
  • Scenario and roles in instructions
  • Intent label in every submission

Your view

What you receive

Submission

Each submission arrives with the dialogue or recording and the intent label, ready to review and approve.

  • Dialogue and label in one submission
  • Worker country on every submission
  • Approve or reject each one
Targeting

Target the Right Contributors

Choose where your contributors come from and which language they use. Every submission comes from a different person.

Countries and languages

Accept workers from all countries or pick specific ones by continent or individually. Hear how users in each market really talk.

Contributor requirements

Describe who should take part in your instructions, such as language level, age group or experience with chatbots. Reject submissions that do not match.

Example dialogues

Add a sample conversation that shows the length, tone and format you expect, so contributors get it right the first time.

One person, one submission

Each worker can complete your task only once. You get as many different voices and writing styles as the submissions you order.

Quality Control

Quality Control You Stay in Charge Of

You decide what counts as a good dialogue and review every submission before it joins your dataset.

Person writing notes at a laptop to define dialogue scenarios

Clear scenarios

Describe the roles, the goal and how many turns each dialogue should have.

Example chat conversation shown on a screen for contributors

Example dialogues

Show good and bad examples so contributors know exactly what you expect.

Person reviewing chat messages and dialogue submissions

Approve or reject

Read or listen to each submission and accept only dialogues that follow your scenario.

Second person checking dialogues and intent labels

Second review

Launch a separate task where other workers check dialogues and labels for you.

Transparency

Collected With Consent

Every dialogue comes from real people who chose to take your task and knew what it was for.

Contributors know the purpose

Your task description explains what people will write or record and that it will be used to train or test AI.

Both sides agree

When two people record a conversation together, both of them agree to take part. Role-plays use fictional names and details only.

Known source of every dialogue

Each submission comes from a specific worker in the country you selected, created specifically for your task.

Pricing

Estimate Your Conversational AI Data Cost

You set the pay per task. Adjust the numbers to see what your project will cost, with the 15% platform fee included.

min

How long it takes a worker to complete one task.

$

Minimum pay is $0.10 per task. Need more dialogues later? Extend the same task instead of creating a new one.

FAQ

Frequently Asked Questions

Conversational AI data is the dialogues, requests and feedback used to train and test chatbots and voice assistants. It shows how real people ask for things, clarify and react to answers.

Here every task is built around a conversation with an assistant: intents, dialogues and bot testing. For general voice recordings see speech data collection, and for other writing tasks see text data collection.

Yes. Add a link to your bot and a list of things to try in the instructions. Workers talk to it and report failures, wrong answers and their overall rating. Do not ask them to share real personal data with the bot.

Yes. Create a text collection task for written dialogues and an audio collection task for spoken requests, or contact us for a combined setup.

Any language spoken by workers in the countries you select. Choose the countries and state the required language in your instructions.

You set the pay for each task, starting from $0.10, plus a 15% platform fee. Long dialogues and bot testing usually need a higher pay rate. A campaign starts from $0.30.

Ask contributors to use fictional names, addresses and numbers in role-plays and tests. Reject any submission that contains real personal data.

You review every submission yourself and approve or reject it. For larger projects, you can launch a separate task where other workers check dialogues and labels.

Yes. Extend your existing task instead of creating a new one. Workers who already took part still cannot submit again.

If you need a special format, a review flow of your own or help writing scenarios, contact us through the form below and we will set it up with you.

Contact

Planning a Large Conversational AI Project?

Need many languages, bot testing at scale or help writing scenarios? Send a message and we will set it up with you.