Quality Control Test Technician
1 169 786 ₽ (RUB)/yr
562,40 ₽ (RUB)/hr
28 426 ₽ (RUB)/yr
The average quality control test technician gross salary in Nizhny Novgorod, Russian Federation is 1 169 786 ₽ or an equivalent hourly rate of 562 ₽. This is 0% lower (+44 ₽) than the average quality control test technician salary in Russian Federation. In addition, they earn an average bonus of 28 426 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level quality control test technician (1-3 years of experience) earns an average salary of 849 228 ₽. On the other end, a senior level quality control test technician (8+ years of experience) earns an average salary of 1 457 882 ₽.
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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.
1 392 832 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Quality Control Test Technician will increase 19 % over 5 years.
This chart displays the highest level of education for:
Quality Control Test Technician, the majority at 33% with high schools.
Typical Field of Study: Industrial Technician Training
See how education can impact your salaryThe cost of living in Nizhny Novgorod, Russian Federation is 7% less than the average cost of living in Russian Federation. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
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.