RapidWorkers helps AI teams label text, rate model answers and test conversations with real people worldwide. Create a task, choose the countries and set the pay. Workers submit labels and feedback, and you approve only what fits.
LLM · Conversational AI · NLP · Pay per task, no contracts
190+
Countries
12,000+
Workers available
13,487
Tasks posted
$112,345
Paid to workers
Pick the feedback or labeling setup your model needs. Contributors rate answers, test dialogues and label text in the countries you choose.
Prompts, ideal answers, A/B comparisons, ratings and fact checks from everyday users. Built for fine-tuning, RLHF and model evaluation.
Preference data and ratings in many languages
Multi-turn chats, intent variants and live bot testing from real users. Train and stress-test chatbots and voice assistants.
Text and voice dialogues you can review
Sentiment, categories, entities, relevance and translation checks by native speakers. Label ready text in batches, not write new copy.
Native speakers label packs of items per task
From task setup to approved labels and feedback in four steps, with no contracts and no negotiations.
Describe what to label, rate or test. Add examples, a scale or answer pairs, set the pay and how many submissions you need.
Select where contributors should come from. State the language in your instructions so only matching workers take the task.
People label packs of items, compare answers or run dialogues. Each worker can complete your task only once.
Check every submission in one place. Approve the labels and ratings that fit and reject the rest before they reach your dataset.
You set the pay per task. Adjust the numbers to see what your labeling or feedback project will cost, with the 15% platform fee included.
How long it takes a worker to complete one task.
Minimum pay is $0.10 per task. Need more opinions on the same items later? Extend the same task instead of creating a new one.
Annotation is for labeling and feedback. Collection is for capturing fresh data from real people. Those tasks live in a separate hub.
Explore data collectionData annotation here means people label text, rate model answers or test conversations. You get human feedback and labels instead of newly captured speech, photos or video.
Collection is for capturing new files — recordings, photos, clips or written answers. Annotation is for working with content you already have: labels, ratings and dialogue tests. See AI training data collection for capture tasks.
You can run LLM training data tasks (prompts, comparisons, ratings), conversational AI dialogues and bot tests, and NLP labeling such as sentiment, entities and translation checks.
You set the pay for each task, starting from $0.10, plus a 15% platform fee. A campaign starts from $0.30, so you can run a small test before scaling up.
Yes. Each worker completes your task once, so the same prompts, texts or dialogues get independent opinions from as many people as you need.
You paste prompts, responses or text packs into your task instructions. Workers read them, then submit labels, choices or comments as text.
Yes. Select continents and countries, and state the required language in your instructions. Native speakers are best for NLP labels and multilingual model checks.
You review every submission and approve or reject it. Clear rubrics, examples and control items help. For larger projects, launch a second task where other workers check the first pass.
No. There are no contracts, subscriptions or minimum volumes. You pay only for the tasks you launch.
Need high volume, custom labeling rules or help shaping your feedback task? Send a message and we will set it up with you.
