Your model speaks many languages. We make sure it speaks them well.
Rolling Translations gives AI teams professional linguists who evaluate, annotate and test multilingual output — so it reads as accurate, natural and culturally right to real users.
We don't build AI models. We make the ones you build better in every language.
For years, Rolling Translations has reviewed, adapted and quality-checked language for government agencies, media companies and global brands. Today we bring that same linguistic rigor to AI: professional, native-speaker linguists who can tell when a response is technically correct but sounds wrong — and explain why.
Whether you're training, fine-tuning or launching a multilingual product, we give you the human judgment that automated metrics miss.
Human review of AI-generated responses for linguistic accuracy, fluency, cultural appropriateness and instruction-following. Our linguists rate and compare model responses against your guidelines, flag errors, and write clear rationales your team can act on.
Text classification, intent labeling, sentiment annotation and multilingual dataset review. Clean, consistent labels start with annotators who truly understand the language — including slang, idioms and context that change meaning.
Reviewing and correcting machine-generated translations and multilingual content. We apply the same QA standards we use for human translation to content produced by AI, so it's ready for real audiences.
Testing AI assistants across languages and regional variants to identify linguistic errors, inconsistencies and unnatural responses. We talk to your assistant the way your users will — and report back on where it breaks.
Every project is handled by professional, native-speaker linguists with translation and QA experience.
Dedicated linguist teams for medical, legal, education, government, technology and marketing content — so domain-specific responses are judged by people who know the field.
We know that "correct Spanish" in Mexico City isn't always correct in Buenos Aires or Madrid. We test and evaluate by variant, not just by language.
Quality assurance is the core of what we've always done. Clear criteria, consistent scoring, and reports your engineers can use.
Our team already works inside AI-enhanced language pipelines, from AI dubbing script adaptation to machine translation post-editing.
Your data, prompts and model outputs are handled under strict confidentiality.
We review your use case, languages, guidelines and volumes.
We run a small calibration batch so you can check quality and alignment before scaling.
We assign a dedicated linguist team per language and domain, with ongoing QA.
You get structured results, error trends and recommendations — in the format your team uses.
We support evaluation, annotation and testing across 160+ languages, with special depth in Spanish regional variants for Latin America, the U.S. and Spain. Need a language not listed? Ask us — we'll tell you honestly if we can cover it.
No. We're a language services company. We provide the human linguistic expertise that helps AI teams evaluate, train and test their own models.
Yes. We adapt to your rating rubrics, annotation guidelines and platforms, or we can help you define them.
Yes — we recommend it. A pilot lets you validate quality and calibration before committing to larger volumes.
Through calibration rounds, shared guidelines, reviewer spot-checks and regular feedback loops.
Tell us about your model, your languages and your goals. We'll put together a pilot plan.
Or write to us at info@rolling-translations.com