annotaattorin
An annotaattori is a person or system that assigns annotations to raw data. In Finnish, annotaattorin is the genitive form meaning “of the annotator.” In data science and machine learning, an annotaattori creates labeled datasets that enable supervised learning, model evaluation, and downstream analysis. The term covers both human labelers and automated labeling tools, as well as hybrid approaches that combine manual and algorithmic labeling.
Annotators can be professionals, crowd workers, or automated systems. They label data for a range of tasks,
Projects follow defined guidelines and training, then labeling, quality control, and curation. Inter-annotator agreement measures such
Tools and governance include annotation platforms, data pipelines, versioning, provenance, and privacy controls. Clear schemas and
Challenges include subjectivity, ambiguity, and bias; scaling labeling for large data collections; budget and turnaround pressures;
Applications span natural language processing, computer vision, speech, and biomedical data. The quality of annotations strongly