Data Annotator
From my experience at AnnotateNow and Micro1, the scope of an AI project defines exactly what needs to be done and what the boundaries are. For example, when I worked on video labeling projects, the scope would specify what types of content we were annotating, how many videos were included, what labeling format to follow, and the deadline. It also made clear what was out of scope — for instance, we might only label certain object types and not others. Understanding the scope helped me stay accurate and consistent, because I knew exactly what was expected without going beyond or falling short of the project requirements.