Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names (PER), organizations (ORG), locations (LOC), geopolitical entities (GPE), vehicles (VEH), medical codes, time expressions, quantities, monetary values, percentages, etc.

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1 job · 1 company · last seen 5 August 2026

There are currently 1 open role in Berlin that mention Named Entity Recognition, posted by 1 company. It frequently pairs with Python, Java, TypeScript. Seen most in AI/ML (0% of their roles).

Frequently asked questions

How many Named Entity Recognition jobs are available in Berlin right now?

There are currently 1 open role in Berlin that mention Named Entity Recognition, posted by 1 company. The board is refreshed multiple times a day — more frequently during Berlin working hours — so new roles can appear throughout the day.

Which companies in Berlin are hiring for Named Entity Recognition?

Companies currently listing the most Named Entity Recognition roles include: Doctolib.

What skills pair well with Named Entity Recognition?

Employers who ask for Named Entity Recognition also frequently require: Python (100%), Java (100%), TypeScript (100%), Kotlin (100%), CI/CD (100%).

In which Berlin job roles is Named Entity Recognition most in demand?

Based on current listings, Named Entity Recognition appears most in: AI/ML (0%) roles.