The goal of this project is to develop a system to help maximize data quality when annotating social media posts using crowdsourcing. Data is received by having workers respond to various surveys, and so maximizing data quality means finding and blocking survey responders who do not provide adequate survey responses. This is done by writing a server-side component, which was written via the Flask API, which enables simple routing and server execution. An additional goal is to create a custom dashboard in order to monitor back-end system processes. This project lays the foundation for server-side functionality and begins incorporating various methods that would maximize data quality.