AI Salary Growth Tracker

The AI Salary Growth Tracker provides an overview of salary trends for AI-related roles across different experience levels and geographies. As the AI industry continues to expand, compensation packages have become a critical factor for both employers and job seekers. This tool aggregates ESTIMATED salary data from public sources like Glassdoor, Levels.fyi, LinkedIn Talent Insights, and the Bureau of Labor Statistics to help professionals benchmark their earnings and understand salary growth trajectories in the AI field.

Salary growth in AI roles has outpaced many other tech sectors, with annual increases often ranging between 5% to 10% for high-demand positions. For example, entry-level Machine Learning Engineers in the U.S. can expect ESTIMATED salaries around $120K, while senior roles may reach $230K or more, depending on location, company size, and specialization. Mid-level salaries typically fall between $150K and $180K, reflecting the premium placed on AI expertise. These figures align with broader trends in the tech industry but are notably higher for AI-specific roles due to the specialized skills required.

Geographic variations are significant, with U.S.-based roles commanding the highest salaries, followed by Canada, the UK, and other regions. For instance, a Machine Learning Engineer in India may earn an ESTIMATED entry-level salary of $70K, compared to $120K in the U.S. The tool accounts for these differences by filtering data by location, allowing users to compare roles across markets. Additionally, salary growth rates vary by role, with research-heavy positions like AI Research Scientists often seeing faster increases than non-technical AI roles.

Use this tool to explore how AI salaries evolve with experience, compare compensation across regions, and identify roles with the highest growth potential. Whether you're negotiating a job offer, planning a career move, or benchmarking your company's compensation strategy, the AI Salary Growth Tracker provides data-driven insights to inform your decisions.

How It Works

The AI Salary Growth Tracker aggregates ESTIMATED salary data from multiple public sources, including Glassdoor, Levels.fyi, LinkedIn Talent Insights, and the Bureau of Labor Statistics. The tool organizes this data into a searchable, filterable table that allows users to explore salary trends by role, experience level, and location.

To use the tracker, apply filters at the top of the table to narrow down results by role name, location, or data source. For example, selecting 'Machine Learning Engineer' and 'US' will display ESTIMATED salary ranges and growth rates for that role in the U.S. market. Click on any column header to sort the table by salary levels or growth rates, helping you identify high-growth roles or competitive compensation packages.

Methodology Note

All salary figures presented in this tool are ESTIMATES based on aggregated public data. Salaries can vary significantly based on factors such as company size, industry, individual performance, and negotiation skills. The growth rates shown reflect annual trends observed in public reports but are not guarantees of future salary increases.

Data is sourced from:

• Glassdoor: Aggregated salary reports from employees in AI roles.
• Levels.fyi: Compensation data for tech roles, including AI-specific positions.
• LinkedIn Talent Insights: Market trends and salary benchmarks for AI talent.
• Bureau of Labor Statistics: Broader salary and employment trends for tech occupations.

The tool does not track real-time salary changes but provides periodic updates based on the latest available data from these sources. For precise salary negotiations, consult multiple data points and consider industry-specific trends.

Frequently Asked Questions