Multilingual Data Labeling for Advanced AI Performance
Maximize AI performance with our linguistic data labeling services:
- Expertly labeled language datasets
- Precise text annotation
- Speech and audio labeling
Why do you need data labeling?
More reliable AI output
Human-annotated datasets increase the accuracy of AI output
Lower costs on AI translation
High accuracy and better quality minimize post-editing effort
Better service and customer satisfaction
Chatbots fine-tuned with brand-specific data provide a smooth customer experience
More accurate voice recognition and transcriptions
Increased ability to recognize speech across varying environments and languages
Use cases
- High volumes of machine translation
- Fine-tuning multilingual models
- Training AI chatbots
- Training virtual assistants
- Audio transcription tools
- Multilingual speech recognition
Why outsource data annotation to Alconost?
Doing it with freelancers or your in-house team results in:
Delegating this task to Alconost means:
Looking for multilingual data labeling services?
FAQs
What is data labeling used for?
Data labeling, also known as data annotation, involves adding descriptive labels to the raw datasets to provide context and meaning. It helps AI models learn to recognize patterns so they can improve their accuracy and effectiveness.
Who are your data annotators?
They are our professional native-speaking linguists with extensive localization experience and domain expertise.
What languages do you support for data annotation?
We cover 120+ languages.
Can you do image and video annotations?
Yes! Please contact us to discuss how we can help with your specific needs.
Do you offer model fine-tuning services?
Yes, we can fine-tune AI models with your data. You can learn more about our fine-tuning services here.
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