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 | 26 | Details |
| 2 | Data Science Manager | $ 206,000 | 36 | Details |
| 3 | Prompt Engineer | $ 200,400 | 12 | Details |
| 4 | AI Architect | $ 199,800 | 23 | Details |
| 5 | Robotics Software Engineer | $ 193,000 | 10 | Details |
| 6 | Computer Vision Engineer | $ 192,500 | 14 | Details |
| 7 | Applied Scientist | $ 190,000 | 189 | Details |
| 8 | Machine Learning Engineer | $ 188,500 | 605 | Details |
| 9 | Machine Learning Researcher | $ 187,750 | 6 | Details |
| 10 | Data Infrastructure Engineer | $ 184,450 | 12 | Details |
| 11 | ML Engineer | $ 183,400 | 95 | Details |
| 12 | Research Scientist | $ 179,500 | 376 | Details |
| 13 | Data Analytics Lead | $ 176,500 | 19 | Details |
| 14 | Research Engineer | $ 173,000 | 182 | Details |
| 15 | Machine Learning Scientist | $ 171,500 | 62 | Details |
| 16 | AI Engineer | $ 166,000 | 86 | Details |
| 17 | AI Scientist | $ 163,000 | 8 | Details |
| 18 | Data Science | $ 160,000 | 233 | Details |
| 19 | MLOps Engineer | $ 160,000 | 12 | Details |
| 20 | Robotics Engineer | $ 152,000 | 16 | Details |
| 21 | Data Architect | $ 150,000 | 182 | Details |
| 22 | Machine Learning Operations Engineer | $ 150,000 | 6 | Details |
| 23 | Data Scientist | $ 149,200 | 1124 | Details |
| 24 | Data Product Manager | $ 147,500 | 26 | Details |
| 25 | Business Intelligence Lead | $ 144,300 | 12 | Details |
| 26 | AI Software Engineer | $ 143,896 | 7 | Details |
| 27 | Data Science Engineer | $ 140,000 | 13 | Details |
| 28 | Analytics Engineer | $ 140,000 | 163 | Details |
| 29 | Data Engineer | $ 140,000 | 1066 | Details |
| 30 | Business Intelligence | $ 139,000 | 124 | Details |
| 31 | Data Integration Engineer | $ 131,487 | 18 | Details |
| 32 | Data Modeler | $ 130,000 | 30 | Details |
| 33 | Cloud Database Engineer | $ 126,062 | 8 | Details |
| 34 | Data Analytics Manager | $ 124,230 | 27 | Details |
| 35 | Business Intelligence Manager | $ 117,250 | 14 | Details |
| 36 | Data Lead | $ 116,750 | 12 | Details |
| 37 | Research Analyst | $ 115,500 | 70 | Details |
| 38 | Data Science Practitioner | $ 113,000 | 6 | Details |
| 39 | Data Science Consultant | $ 110,500 | 32 | Details |
| 40 | ETL Developer | $ 109,750 | 8 | Details |
| 41 | Business Intelligence Engineer | $ 108,500 | 96 | Details |
| 42 | BI Analyst | $ 105,000 | 16 | Details |
| 43 | Data Operations Specialist | $ 104,750 | 8 | Details |
| 44 | Data Analyst | $ 100,000 | 858 | Details |
| 45 | Business Intelligence Analyst | $ 100,000 | 121 | Details |
| 46 | Data Manager | $ 99,250 | 86 | Details |
| 47 | Data Analytics Specialist | $ 95,222 | 6 | Details |
| 48 | Data Developer | $ 95,000 | 20 | Details |
| 49 | Data Integration Specialist | $ 93,750 | 12 | Details |
| 50 | Data Operations Analyst | $ 92,950 | 14 | Details |
| 51 | Business Intelligence Developer | $ 90,907 | 36 | Details |
| 52 | Data Science Analyst | $ 87,500 | 6 | Details |
| 53 | Data Analytics Consultant | $ 86,362 | 6 | Details |
| 54 | Data Management Analyst | $ 80,400 | 18 | Details |
| 55 | BI Developer | $ 80,210 | 34 | Details |
| 56 | Data Management Specialist | $ 77,401 | 12 | Details |
| 57 | Data Specialist | $ 75,211 | 48 | Details |
| 58 | Encounter Data Management Professional | $ 69,800 | 8 | Details |
| 59 | Data Operations Associate | $ 69,333 | 6 | Details |
| 60 | Insight Analyst | $ 48,878 | 10 | 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.