Data Annotator

359.415 kr. (DKK)/yr

172,80 kr. (DKK)/hr

10.279 kr. (DKK)/yr

The average data annotator gross salary in Copenhagen, Denmark is 359.415 kr. or an equivalent hourly rate of 173 kr.. This is 7% higher (+22.252 kr.) than the average data annotator salary in Denmark. In addition, they earn an average bonus of 10.279 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Copenhagen, Denmark. An entry level data annotator (1-3 years of experience) earns an average salary of 254.629 kr.. On the other end, a senior level data annotator (8+ years of experience) earns an average salary of 404.917 kr..

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Salary Potential

391.017 kr. (DKK)

9 %

Based on our compensation data, the estimated salary potential for Data Annotator will increase 9 % 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

Copenhagen, Denmark

The cost of living in Copenhagen, Denmark is 26% more than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Copenhagen (Danish: København [kʰøpm̩ˈhɑwˀn] ) is the capital and most populous city of both the country of Denmark and the wider Kingdom of Denmark, with a population of 667,000 people in the municipality and 1.4 million in the urban area. The city is situated mainly on the island of Zealand (Sjælland), with a smaller part on the island of Amager. Copenhagen is separated from Malmö, Sweden, by the Øresund strait. The Øresund Bridge connects the two cities by rail and road. Originally a Viking f

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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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