Global AI, ML, and Data Science Salaries

The "Global AI, ML, and Data Science Salaries" dataset provides an in-depth look at salary information for roles in AI, ML, and data science worldwide. Collected from professionals in these fields, the dataset includes various parameters such as job titles, experience levels, employment types, and salaries. It covers data from different years, currencies converted to USD, and provides insights into remote work trends and company sizes. The dataset is updated regularly and is published under the CC0 license, ensuring free use and distribution.

Column Information

• work_year: The year the salary was paid.
• experience_level: The experience level in the job during the year (EN: Entry-level/Junior, MI: Mid-level/Intermediate, SE: Senior-level/Expert, EX: Executive-level/Director).
• employment_type: The type of employment for the role (PT: Part-time, FT: Full-time, CT: Contract, FL: Freelance).
• job_title: The role worked in during the year.
• salary: The total gross salary amount paid.
• salary_currency: The currency of the salary paid as an ISO 4217 currency code.
• salary_in_usd: The salary in USD (FX rate divided by avg. USD rate of respective year).
• employee_residence: Employee's primary country of residence during the work year as an ISO 3166 country code.
• remote_ratio: The overall amount of work done remotely (0: No remote work, 50: Partially remote/hybrid, 100: Fully remote).
• company_location: The country of the employer's main office or contracting branch as an ISO 3166 country code.
• company_size: The average number of people that worked for the company during the year (S: less than 50 employees, M: 50 to 250 employees, L: more than 250 employees).