• Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. • Labeling elements of a piece of content rather than the content as a whole. • Assigning predefined categories or labels to items. • Evaluating the perceived quality and/or appropriateness of content. • Generating labels to advance understanding of a concept, trend etc. • Creation of additional training data for machine learning models by applying transformations to the original data. • Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. • Labeling model outputs to identify if a piece of content is or isn't something. • Ordering or ranking items based on a set of preferences or criteria. • Creating prompts or questions that will be used to generate responses from a language model or other AI system. • Projects that evaluate the relevance of content based on a relevancy scale. • Generating responses to prompts or questions using a language model or other AI system. • Rewriting existing text while preserving the original meaning. • Producing concise summaries of longer pieces of text or data. • Projects where content is compared in order to drive a determination. • Converting spoken language or audio content into written text. • Converting text or spoken language from one language to another. • Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models.