Annotator Data

105 467 zł (PLN)/yr

50,71 zł (PLN)/hr

3 016 zł (PLN)/yr

The average annotator data gross salary in Poznan, Poland is 105 467 zł or an equivalent hourly rate of 51 zł. This is 6% lower (-6 605 zł) than the average annotator data salary in Poland. In addition, they earn an average bonus of 3 016 zł. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Poznan, Poland. An entry level annotator data (1-3 years of experience) earns an average salary of 74 805 zł. On the other end, a senior level annotator data (8+ years of experience) earns an average salary of 119 539 zł.

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Salary Potential

159 044 zł (PLN)

51 %

Based on our compensation data, the estimated salary potential for Annotator Data will increase 51 % 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

Poznan, Poland

The cost of living in Poznan, Poland is 6% less than the average cost of living in Poland. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

View Cost of Living Page

Poznań (Polish: [ˈpɔznaj̃] or [ˈpɔznaɲ] ) is a city on the River Warta in west Poland, within the Greater Poland region. The city is an important cultural and business center and one of Poland's most populous regions with many regional customs such as Saint John's Fair (Jarmark Świętojański), traditional Saint Martin's croissants and a local dialect. Among its most important heritage sites are the Renaissance Old Town, Town Hall and Poznań Cathedral. Poznań is the fifth-largest city in Poland.

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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