Businesses possessing volumes of unstructured data will always find it hard to streamline their work processes and make smart decisions. On the contrary, having well-defined, structured data would mean attracting secure and consistent data handling without having to search for the relevant data set every single time. Data annotation is without a doubt an inevitable part of any business. Obtaining the desired data from a pool of data available at hand is only possible with data annotation for ML. Infact, for Artificial Intelligence (AI) and Machine Learning (ML) implementations to be effective, annotated and labeled data plays an extremely vital role.