A Changing Language Services Landscape

Al data providers now offer services such as multilingual output evaluation, chatbot training, model performance testing, prompt/output refinement, multimodal data annotation, and culturally aware dataset building.

LSPs and Al-data companies are positioning these as strategic services.

You don’t just need to learn how to pivot from translation and localization to dataset evaluation and annotation.

You need to learn how to connect language, culture, data, linguistic evaluation and Al.

Use your Linguistic and Cultural Skills to Serve Changing Needs

Translation and localization professionals already have many of the skills needed for language data work. The next step is learning how to apply those skills to AI evaluation, dataset quality, cultural review, and multilingual data workflows.

Whether you are a freelancer, LSP, language reviewer, interpreter, bilingual professional, or cultural consultant, these programs are designed to help you expand your services and adapt your expertise to emerging language data work.

There is no such thing as “Artificial Intelligence”

In reality, there’s no such thing as AI.

Or to put it better, AI does not exist as a standalone entity.

 Instead, it represents the outcome of data evaluation, categorization, processing, and annotation.

Without proper, accurate, responsible and ethical data practices, AI would be totally alien to human perception.

The ethics and efficiency of AI lie in the hands of those who evaluate, train and supervise it.