Global AI & Data Jobs Salary Dataset

By shrijeetverma13 · February 26, 2026

Data source:

The analysis successfully generated a comprehensive comparison of AI salaries across countries, showing both nominal average salaries and cost-of-living adjusted figures. A grouped bar chart visualizes the difference between raw salary figures and purchasing power-adjusted compensation, revealing how the cost of living significantly impacts real earnings.

The analysis successfully generated two comprehensive visualizations examining layoff risk for AI professionals. The first chart displays the top 10 industries ranked by average layoff risk, while the second chart breaks down risk levels across different company sizes.

I've analyzed the AI specializations to identify which ones have the highest skill demand scores and most job openings. The analysis includes a comprehensive visualization showing both metrics together, plus detailed data tables breaking down the top performers in each category.

The analysis reveals how salaries increase with each additional year of experience across different AI specializations. On average, AI professionals can expect a salary increase of $5,400 per year of experience. Generative AI shows the highest growth at $5,539 per year, while Reinforcement Learning shows the most modest increase at $5,336 per year.

The analysis reveals the highest-paying AI job roles across different experience levels. A comprehensive visualization shows how total compensation (salary plus bonus) varies by role and experience level for the top 10 highest-paying positions in AI.

The analysis reveals distinct patterns across company sizes. Two visualizations were created showing compensation breakdown and career metrics. Large companies provide the highest total compensation, while small companies offer the best career growth opportunities. Medium companies tend to fall in between on most metrics.

The analysis reveals how different work modes affect salary, employee satisfaction, and work-life balance. A grouped bar chart was created comparing Remote, Hybrid, and Onsite work arrangements across all three metrics, making it easy to see which work mode performs best in each category.

The analysis successfully identified which job roles and AI specializations face the highest hiring challenges. Two visualizations were created showing the top 10 job roles ranked by hiring difficulty score and the key factors that correlate with hiring difficulty.

AI salaries have remained relatively stable from 2020 to 2026, with an overall change of -0.2% (from $96,890 to $96,659). Two interactive visualizations show the evolution across different job roles and experience levels over this period.

The analysis examined how salary, bonus, and work-life balance factors relate to offer acceptance rates. Two visualizations were created: a correlation chart showing the relationship strength of each factor, and a grouped bar chart comparing acceptance rates across different salary and work-life balance quartiles.

The analysis successfully identified the best industries for AI roles by evaluating salary, job security, and career growth together. A comprehensive visualization shows the top 10 industries ranked across all three metrics, allowing you to compare how different sectors perform in each category.

The analysis reveals that Computer Vision Engineers have the highest automation risk among AI job roles with an average score of 50.6, while AI Engineers have the lowest at 50.1. Interestingly, there's only a weak correlation (0.138) between automation risk and job security scores, meaning that higher automation risk doesn't necessarily translate to lower job security in AI roles.

The analysis reveals the fastest promotion speeds for AI professionals across different job roles, industries, and company sizes. Three comprehensive visualizations were created showing the top performers in each category.

The number of interview rounds shows virtually no correlation with salary level, company size, or job role seniority. The analysis reveals correlation coefficients near zero for all three factors: -0.006 with salary, 0.001 with company size, and -0.005 with seniority level.

The analysis reveals surprisingly minimal salary differences across education levels in AI roles. Bootcamp graduates earn the highest average at $97,206, followed closely by Bachelor's degree holders at $97,026. The salary premium compared to the baseline (Master's degree at $96,075) ranges from just 0% to 1.2%, indicating that education level has very little impact on AI salaries in this dataset.

The analysis reveals an interesting split: AI maturity years show virtually no relationship with compensation or growth opportunities, but AI adoption scores tell a different story. Companies with high AI adoption (71-100) offer significantly better career growth opportunities (score of 63.5) compared to low adoption companies (36.7). However, compensation remains relatively flat across all levels, averaging around $96,000-$97,000 regardless of AI maturity or adoption.

The analysis reveals how job openings and hiring difficulty have evolved across different AI specializations from 2020 to 2026. Two interactive charts were created showing these trends over time.