Machine Learning, Human In The Loop, Artificial Intelligence, Ml Model, Outsourcing.
cleaning, and annotation. Here, a human-in-the-loop workforce can be used to acquire and prepare data for annotation. Subjectivity and understanding of edge cases are important in nuanced work, such as data cleansing (e.g., reformatting, deduplication) and enrichment (e.g., web scraping, research).