Artificial Intelligence systems may one day drive a car, help cure diseases, or simply choose the movie we watch at night. However, the work to get there is tedious and time consuming according to the just completed third annual Data Scientist Survey conducted by CrowdFlower, the essential human-in-the-loop AI platform for data science and machine learning teams.
The survey of nearly 200 data scientists found that the jobs they hate the most cleaning, labeling and categorizing data are where they have to spend the most time. For example, data scientists spend 500% more time cleaning, labeling and categorizing data than they spend mining the data. In fact, those surveyed said they spend double the amount of time on these laborious task than creating and building algorithms.