Time/week spent: 10h - 20h

As a Quantitative AI Researcher, the time commitment typically ranges from 10 to 20 hours per week. Initially, more time may be required for setting up data pipelines, model development, and algorithm testing, which could take around 15 to 25 hours per week. Tasks involve data collection, preprocessing, model training, tuning, and result analysis. Once the setup is complete, the weekly hours can decrease to 10 to 20. Most online discussions suggest spending at least 10 hours weekly to stay updated with research, implement new techniques, and refine existing models. While some individuals may invest more time for in-depth research or complex projects, others manage with fewer hours by focusing on specific areas of interest.