AI Engineer Salary in Greece: What You Need to Know
AI Engineers in Greece earn an estimated $49,077 USD per year, which is approximately €45,151 EUR at current exchange rates. This places Greece at #32 out of 42 countries in our global salary ranking for this occupation.
Compared to the United States, where AI Engineers earn an estimated $165,000 USD per year, the salary in Greece is 70% lower. This difference reflects variations in local economies, cost of living, labor market conditions, and industry demand for AI Engineers in Greece.
Purchasing Power and Cost of Living
While nominal salary figures provide a useful starting point, they don't tell the full story. When adjusted for purchasing power parity (PPP), the salary for a AI Engineer in Greece is equivalent to $166,639 USD. This means that after accounting for differences in the cost of goods and services, the real buying power of this salary is actually higher than the nominal figure suggests, indicating a relatively lower cost of living in Greece.
To put this in more tangible terms, using The Economist's Big Mac Index as an informal measure of purchasing power, a AI Engineer's annual salary in Greece could buy approximately 10,036 Big Macs per year. This everyday comparison helps illustrate the real-world purchasing power of this salary beyond abstract currency conversions.
How Greece Compares Globally
Among the 42 countries we track, a AI Engineer in Greece earns more than 26% of AI Engineers worldwide. The highest-paying country for this role is United States at $135,300 USD, while the lowest is India at $15,030 USD.
These estimates are derived from publicly available data from the U.S. Bureau of Labor Statistics (BLS), OECD average wages, World Bank purchasing power parity factors, and The Economist's Big Mac Index. The salary for each country is calculated by adjusting the U.S. baseline salary using country-specific wage ratios and sector multipliers. While these figures provide a useful benchmark, actual salaries can vary significantly based on experience level, company size, specific city or region, education, and industry sector.