Within artificial intelligence (AI), explainable AI (XAI), generally overlapping with interpretable AI or explainable machine learning (XML), is a field of research that explores methods that provide humans with the ability of intellectual oversight over AI algorithms. The main focus is on the reasoning behind the decisions or predictions made by the AI algorithms, to make them more understandable and transparent. This addresses users' requirement to assess safety and scrutinize the automated decision making in applications. XAI counters the "black box" tendency of machine learning, where even the AI's designers cannot explain why it arrived at a specific decision.

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2 jobs · 2 companies · last seen 28 September 2026

There are currently 2 open roles in Berlin that mention Explainability, posted by 2 companies. It frequently pairs with Python, SQL, Google Cloud. Seen most in Data Scientist (2% of their roles) and AI/ML (1% of their roles). Across those roles, 50% list it as required and 0% as nice-to-have.

Frequently asked questions

How many Explainability jobs are available in Berlin right now?

There are currently 2 open roles in Berlin that mention Explainability, posted by 2 companies. 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 Explainability?

Companies currently listing the most Explainability roles include: Deloitte, Nucs AI.

What skills pair well with Explainability?

Employers who ask for Explainability also frequently require: Python (100%), SQL (100%), Google Cloud (100%), Machine Learning (100%), AWS (50%).

In which Berlin job roles is Explainability most in demand?

Based on current listings, Explainability appears most in: Data Scientist (2%), AI/ML (1%) roles.