Annotator Data

$ 16.109.702 (ARS)/yr

$ 7.745,05 (ARS)/hr

$ 460.737 (ARS)/yr

The average annotator data gross salary in Argentina is $ 16.109.702 or an equivalent hourly rate of $ 7.745. In addition, they earn an average bonus of $ 460.737. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Argentina. An entry level annotator data (1-3 years of experience) earns an average salary of $ 11.789.886. On the other end, a senior level annotator data (8+ years of experience) earns an average salary of $ 18.810.020.

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Salary Potential

$ 33.446.816 (ARS)

108 %

Based on our compensation data, the estimated salary potential for Annotator Data will increase 108 % 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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Country Overview

Argentina

Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Argentina, officially the Argentine Republic, is a country located in the southern cone of South America and with a claimed portion of Antarctica. It covers an area of 2,780,085 km2 (1,073,397 mi2), making it the second-largest country in South America after Brazil, the fourth-largest country in the Americas, and the eighth-largest country in the world. Argentina shares the bulk of the Southern Cone with Chile to the west, and is also bordered by Bolivia and Paraguay to the north, Brazil to the

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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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