Data annotation is the process of labeling unstructured data/information for the purpose of training Machine Learning models. A vast amount of raw data exists all around us, in the form of emails, cellphone images, and videos, or speech recordings, and in different formats including images, video, text, and audio. When appropriately labeled, this data is used to help Machine Learning models identify relevant objects, sounds, or words, and thereafter perform autonomous operations like driving, speaking, or assisting diagnostics, to name a few common applications.I provides various  data annotation services that cater to a client’s project needs. Common workflows include text annotation, video annotation, audio annotation, and image annotation. I with my team works with the client to calibrate their quality and throughput requirements and builds custom processes to support client needs.