Data Annotator

126 009 zł (PLN)/yr

60,58 zł (PLN)/hr

3 604 zł (PLN)/yr

The average data annotator gross salary in Warsaw, Poland is 126 009 zł or an equivalent hourly rate of 61 zł. This is 12% higher (+13 835 zł) than the average data annotator salary in Poland. In addition, they earn an average bonus of 3 604 zł. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Warsaw, Poland. An entry level data annotator (1-3 years of experience) earns an average salary of 89 375 zł. On the other end, a senior level data annotator (8+ years of experience) earns an average salary of 142 823 zł.

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Salary Potential

190 022 zł (PLN)

51 %

Based on our compensation data, the estimated salary potential for Data Annotator will increase 51 % over 5 years.

Education

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

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

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City Overview

Warsaw, Poland

The cost of living in Warsaw, Poland is 10% more 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.

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Warsaw, officially the Capital City of Warsaw, is the capital and largest city of Poland. The metropolis stands on the River Vistula in east-central Poland. Its population is officially estimated at 1.86 million residents within a greater metropolitan area of 3.27 million residents, which makes Warsaw the 6th most-populous city in the European Union. The city area measures 517 square kilometres (200 square miles) and comprises 18 districts, while the metropolitan area covers 6,100 square kilomet

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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