Train AI models with human feedback.
At GPU speed.
API-access to 5K+ high-quality annotations per minute to enable RLHF, refine model behavior, and evaluate outputs.
Install the SDK
Use our Python SDK and integrate with your existing data pipelines in just a few lines of code.
Check the docsDefine your task
Create a Job Definition with your inputs and specify the feedback you need (comparison, classification, ranking), along with instructions, context, and key parameters.
What are audiences?Distribute it
Tasks are instantly routed to targeted audiences, by language, geography, or task-specific expertise (e.g. native speakers, prompt alignment, artifact detection), generating thousands of high-quality annotations per minute.
Results in minutes instead of weeksGet results
Results are returned via API as annotated datapoints, preference data, or rankings that are ready for direct integration into model pipelines.
Humans in the training loopOur annotators in action
Run pairwise comparisons, model ranking, and multi-dimensional scoring (e.g. quality, alignment, realism) on model outputs.
Build benchmarks, compare versions, and track performance over time.
Why choose Rapidata?
Human feedback at GPU speed
Tasks are distributed programmatically across millions of contributors, generating millions of responses per day. Real-time RLHF workflows reach 6K+ annotations / min with near-zero latency.
Diverse, incentive-aligned feedback
Global distribution avoids siloed workforces. Voluntary participation reduces incentive bias and produces more natural, preference-aligned responses.
Pricing that scales with you
Starting at $4 per 1,000 responses, pricing scales with throughput and task complexity. Transparent and predictable, with context and audience targeting influencing cost.
High-quality human feedback
Annotators are pre-screened and continuously scored using validation tasks. Task-specific audiences ensure consistent, high-quality signal across annotations.
Trusted, but often not allowed to disclose
Rapidata helps us test our voice models with real users in real contexts worldwide — in days, not months.
Rapidata not only helps us evaluate the model at scale, but also informs inputs into the model, that help us remain best in class.
Rapidata combines the best of both worlds: automation for efficient evaluation and human insight for real quality assessment. The result is fast, reliable model evaluations you can actually trust.
[...] you are so precious to us that we can't share it with our competitors.
Rapidata helps us test our voice models with real users in real contexts worldwide — in days, not months.
Rapidata not only helps us evaluate the model at scale, but also informs inputs into the model, that help us remain best in class.
Rapidata combines the best of both worlds: automation for efficient evaluation and human insight for real quality assessment. The result is fast, reliable model evaluations you can actually trust.
[...] you are so precious to us that we can't share it with our competitors.
Rapidata helps us test our voice models with real users in real contexts worldwide — in days, not months.
Rapidata not only helps us evaluate the model at scale, but also informs inputs into the model, that help us remain best in class.
Rapidata combines the best of both worlds: automation for efficient evaluation and human insight for real quality assessment. The result is fast, reliable model evaluations you can actually trust.
[...] you are so precious to us that we can't share it with our competitors.
Some of our partners
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FAQ
Can't find the answer you're looking for?Contact our support team at info@rapidata.ai!