• Evaluation: Rating/assessing the performance of AI models or algorithms. • Annotation Labeling: Labeling elements of a piece of content. • Classification: Assigning predefined categories or labels to items. • Content Quality: Evaluating perceived quality and/or appropriateness of content. • Data Augmentation: Creation of additional training data. • Grading: Reviewing data and identifying whether a product feature works as intended. • Identification Labeling: Labeling model outputs. • Preference Ranking: Ordering or ranking items based on preferences. • Prompt Generation: Creating prompts for generating responses from a language model. • Relevance Evaluation: Evaluating the relevance of content. • Response Generation: Generating responses to prompts. • Response Rewrite: Rewriting existing text. • Transcription: Converting spoken language into written text. • Translation: Converting text or spoken language from one language to another.