Data is of paramount importance as it accelerates the development of artificial intelligence technology. For example, ImageNet in computer vision or SQuAD in natural language processing has had a huge impact on the artificial intelligence community and received a huge amount of attention. Also, high-quality data results in high-quality models and offers meaningful assessments. For these reasons, the construction of data is covered in Resources tracks of prestigious conferences such as *ACL, EMNLP.
As a Data Management Intern at Upstage, you will be part of the AI tech team to work on a variety of tasks necessary to build data for NLP or CV. You will design the conditions of the data in order to effectively train and evaluate models, methods to efficiently conduct data annotations. This is an essential capability for practitioners in AI and will benefit both your career and the community. You can also experience a variety of machine learning tasks, as you will be able to build multiple types of data.