Image · video · audio · text
Human evaluation as a service, for every model you ship.
Compare checkpoints, rank models and catch regressions with judgements from real people. Rapidata runs comparisons and ratings for image, video, audio and LLM models through one API, at over 300,000 responses per hour.
01by training stage
A different evaluation for each stage of training.
All three run on the same crowd. Because it is so large and diverse, it is extraordinarily unlikely that the same person labels your training data and later evaluates the model trained on it, so there is no risk of overfitting to a single taste.
- JobsCreate and clean datasets for pretraining and fine-tuning: comparisons, classification, locate, select words and more, on any modality.
- FlowsUse humans as your reward model: live human rankings feed reinforcement learning while your model trains. See how a frontier image lab does it →
- BenchmarksCompare models, or checkpoints at specific training steps, with human-preference rankings.
02modalities
Every modality, one API.
The same crowd, quality scoring and SDK work for every output type.
- ImagePrompt alignment, aesthetics, artefacts and text rendering for text-to-image and editing models.
- VideoMotion quality, physics, temporal coherence and prompt adherence for text-to-video and image-to-video.
- Audio & TTSNaturalness, pronunciation and speaker preference, rated by native speakers of the target language.
- Text & LLMsShort texts such as sentence translations, compared side by side or rated for fluency and accuracy.
03public results
Human evaluations you can inspect today.
Rapidata publishes its human preference data on Hugging Face, so you can check the method and the raw responses before you buy.
04where it fits
Same crowd, same API, different shapes.
Human evaluation FAQ
Can't find the answer you're looking for?Contact our support team at info@rapidata.ai!
Human evaluation as a service means an outside provider supplies the people, task interface and quality control to judge your model's outputs, so you get preference and rating data without recruiting your own panel.
Yes, for short texts such as sentence translations: raters compare outputs side by side or rate them for fluency and accuracy, and you can filter for the target language when the task needs it.
Rapidata evaluates image, video, audio, text-to-speech and LLM models, including multimodal outputs shown together with their prompt.
Automatic judges are cheap but share the blind spots of the models they grade, so subjective criteria such as naturalness, aesthetics and cultural fit still need human raters to be measured reliably.