Uzbekistan

Artificial Intelligence Engineer salary in Uzbekistan

This page provides salary data for Artificial Intelligence Engineer in Uzbekistan for 2026. Based on 3 salary submissions, the median monthly salary for this role is 7,500,000 UZS UZS. The average salary is 8,000,000 UZS UZS, with a range from 4,500,000 UZS to 12,000,000 UZS UZS. The data comes from a single employer, so these figures should be interpreted as indicative rather than comprehensive. Artificial Intelligence Engineer is a high-demand role in the IT sector, driving innovation in machine learning and AI systems.

Median

7,500,000

UZS

Average

8,000,000

UZS

Range

4,500,000 - 12,000,000

UZS

Sample

3

validated salaries

Useful salary insight

What visitors should know

The median monthly salary of 7,500,000 UZS UZS represents the midpoint of all reported salaries, meaning half of the 3 submissions are above and half below this value. The average salary of 8,000,000 UZS UZS is slightly higher, indicating a skew towards higher salaries. The minimum reported salary is 4,500,000 UZS UZS and the maximum is 12,000,000 UZS UZS. However, with only 3 data points, all from the same company (Samsung Electronics France), these numbers may not reflect the broader market in Uzbekistan. More data is needed to draw robust conclusions.

Latest submitted salaries

Recent Artificial Intelligence Engineer salary entries

3 latest validated rows

Monthly salary Experience Company Validated
4,500,000 UZS 1 year Samsung Electronics France 2026-07-10
7,500,000 UZS 4 years Samsung Electronics France 2026-07-10
12,000,000 UZS 8 years Samsung Electronics France 2026-07-10

Data quality

3 validated salaries

This salary data is based on only 3 submissions, all from a single company: Samsung Electronics France. While the figures provide a snapshot, they are not representative of the entire Artificial Intelligence Engineer market in Uzbekistan. The small sample size and lack of company diversity limit the reliability of the averages. We encourage more professionals to contribute their salary data to improve accuracy.