Time/week spent: 10h - 20h

As an AI Mental Health Data Analyst, the time commitment typically ranged from 10 to 20 hours per week. Initially, more time, around 15 to 20 hours, was spent on learning the necessary AI tools, mental health data analysis techniques, and understanding the industry standards. This involved studying algorithms, data processing methods, and mental health trends. As the business progressed, the time spent decreased to around 10 hours weekly, mainly focusing on client work, analyzing data sets, and generating insights. The workload was consistent week to week, with occasional fluctuations depending on project requirements. Online communities suggest that this side hustle requires a moderate time investment, with individuals spending similar amounts of time to learn, analyze data, and engage with clients.