Categories
Data & AI Engineering
Languages
English
Levels
Beginner
Intermediate
Advanced
Application
HR professionals use the Natural Language Processing assessment to identify candidates with knowledge of text processing, tokenization, and language models. This assessment is particularly useful in pre-employment screening for data science or AI roles, where an understanding of how machines process human language is required. It also supports role-specific hiring by helping recruiters evaluate applicants for analyst, research, or AI support positions, as well as internal mobility programs where employees transition into data-focused roles.
Benefits
The Natural Language Processing assessment measures a candidate�s ability to work with fundamental concepts such as language parsing, text preprocessing, and sentiment analysis. These skills are critical for roles where handling unstructured text data is part of the daily workflow. By verifying that candidates understand the basics of NLP, the assessment ensures stronger role alignment and better preparation for real-world tasks, ultimately leading to more reliable performance in technical positions.
Skills measured
FAQ
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Nick Jacks
Group Director of Talent


Sigrid Shun
VP, HR Business Partner Lead

Rob Dougherty
Senior Vice President of Global Talent