Labeling different sets to be fed into the machine learning algorithms requires expertise and time. The absence of accurate labels and human expertise makes attribute computation difficult for smart models. Therefore, human-in-the-loop is essential for AI quality control. The professional providers have competent annotators equipped with state-of-the-art tools to accurately label datasets and ensure quality outcomes.