ai-jobs.net
The Global AI, ML, Data Science Salary Index for 2024 💰📊
See below our global salary index in 2024 for roles in the AI, ML, Data Science space based on internal data (survey submissions + jobs with open salaries). Salary data is in USD and recalculated at its average fx rate during the year for salaries entered in other currencies.
The data is processed and updated on a weekly basis so the rankings may change over time during the year. Want to play around with the dataset yourself? You can download the complete salary dataset here.
| # | Role | Median Salary in 2024 | n | |
|---|---|---|---|---|
| 1 | Head of Data | $ 219,000 | 28 | Details |
| 2 | AI Architect | $ 203,900 | 26 | Details |
| 3 | Prompt Engineer | $ 200,400 | 14 | Details |
| 4 | Robotics Software Engineer | $ 193,000 | 10 | Details |
| 5 | Machine Learning Engineer | $ 188,000 | 914 | Details |
| 6 | Machine Learning Researcher | $ 187,750 | 6 | Details |
| 7 | Computer Vision Engineer | $ 184,000 | 18 | Details |
| 8 | Applied Scientist | $ 180,000 | 243 | Details |
| 9 | Research Scientist | $ 178,600 | 452 | Details |
| 10 | Data Analytics Lead | $ 176,500 | 23 | Details |
| 11 | Data Infrastructure Engineer | $ 174,950 | 14 | Details |
| 12 | Research Engineer | $ 173,000 | 222 | Details |
| 13 | Machine Learning Scientist | $ 170,000 | 70 | Details |
| 14 | AI Engineer | $ 166,000 | 107 | Details |
| 15 | AI Scientist | $ 163,000 | 8 | Details |
| 16 | MLOps Engineer | $ 160,000 | 22 | Details |
| 17 | Robotics Engineer | $ 152,000 | 20 | Details |
| 18 | Data Scientist | $ 151,000 | 2007 | Details |
| 19 | Data Architect | $ 150,000 | 246 | Details |
| 20 | AI Software Engineer | $ 149,020 | 11 | Details |
| 21 | Cloud Database Engineer | $ 147,937 | 14 | Details |
| 22 | Data Product Manager | $ 147,500 | 28 | Details |
| 23 | Data Engineer | $ 143,000 | 1460 | Details |
| 24 | Analytics Engineer | $ 140,000 | 190 | Details |
| 25 | Business Intelligence | $ 139,800 | 144 | Details |
| 26 | Data Operations Manager | $ 132,500 | 6 | Details |
| 27 | Data Integration Engineer | $ 131,487 | 20 | Details |
| 28 | Data Modeler | $ 130,000 | 32 | Details |
| 29 | Data Product Owner | $ 129,845 | 6 | Details |
| 30 | Data Analytics Manager | $ 128,000 | 31 | Details |
| 31 | Business Intelligence Manager | $ 117,250 | 14 | Details |
| 32 | Data Strategist | $ 117,200 | 6 | Details |
| 33 | Data Lead | $ 116,750 | 12 | Details |
| 34 | Research Analyst | $ 115,500 | 78 | Details |
| 35 | Data Analytics Specialist | $ 114,722 | 8 | Details |
| 36 | Business Intelligence Lead | $ 113,290 | 18 | Details |
| 37 | ETL Developer | $ 109,750 | 8 | Details |
| 38 | Business Intelligence Engineer | $ 108,500 | 106 | Details |
| 39 | BI Analyst | $ 105,000 | 20 | Details |
| 40 | Data Operations Specialist | $ 104,750 | 8 | Details |
| 41 | Business Intelligence Analyst | $ 104,550 | 145 | Details |
| 42 | Data Analyst | $ 100,000 | 1160 | Details |
| 43 | Data Developer | $ 97,500 | 22 | Details |
| 44 | Data Manager | $ 96,400 | 106 | Details |
| 45 | Data Integration Specialist | $ 93,750 | 14 | Details |
| 46 | Data Operations Analyst | $ 92,950 | 16 | Details |
| 47 | Business Intelligence Developer | $ 90,907 | 46 | Details |
| 48 | BI Developer | $ 89,500 | 44 | Details |
| 49 | Data Analytics Consultant | $ 86,362 | 6 | Details |
| 50 | Data Quality Analyst | $ 85,000 | 8 | Details |
| 51 | Data Visualization Specialist | $ 84,450 | 6 | Details |
| 52 | Data Management Analyst | $ 80,400 | 18 | Details |
| 53 | Data Operations Associate | $ 79,500 | 8 | Details |
| 54 | Data Management Specialist | $ 77,401 | 12 | Details |
| 55 | Data Specialist | $ 74,000 | 52 | Details |
| 56 | Encounter Data Management Professional | $ 69,800 | 8 | Details |
| 57 | Data Reporting Analyst | $ 66,906 | 6 | Details |
| 58 | Insight Analyst | $ 59,375 | 12 | Details |
About this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.