Annotator Data

42.659 € (EUR)/yr

20,51 € (EUR)/hr

1.220 € (EUR)/yr

The average annotator data gross salary in Rheinberg, Germany is 42.659 € or an equivalent hourly rate of 21 €. This is 3% lower (-1.436 €) than the average annotator data salary in Germany. In addition, they earn an average bonus of 1.220 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Rheinberg, Germany. An entry level annotator data (1-3 years of experience) earns an average salary of 31.321 €. On the other end, a senior level annotator data (8+ years of experience) earns an average salary of 48.140 €.

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Salary Potential

48.757 € (EUR)

14 %

Based on our compensation data, the estimated salary potential for Annotator Data will increase 14 % over 5 years.

Education

This chart displays the highest level of education for:
Annotator Data, the majority at 100% with bachelors.

Typical Field of Study: Data Modeling/Warehousing and Database Administration

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City Overview

Rheinberg, Germany

The cost of living in Rheinberg, Germany is 4% more than the average cost of living in Germany. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Rheinberg (German: [ˈʁaɪnbɛʁk] ) is a town in the district of Wesel, in North Rhine-Westphalia, Germany. It is situated on the left bank of the Rhine, approx. 10 kilometres (6 miles) north of Moers and 15 km (9 miles) south of Wesel. It comprises the municipal districts of Rheinberg, Borth, Budberg, and Orsoy.

Sourced from Wikipedia
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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Locates, annotates, labels, and tags data, information, content, and materials, using various specialized software programs; and puts it into categories or groups by relevance, working with things like videos, texts, advertisements, photographs, images, and other types of material. Builds datasets that power data science solutions which are integrated into a company's product. Collects, reviews, validates, scrutinizes, and scrubs data and... other material worked with; and ensures it is tagged correctly.Read More
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