Creating and evaluating training data sets for AI models that will help improve their accuracy, fluency, coherence and/or voice
Annotating data to help AI models align with human values
Analyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventions
Collaborating closely with cross-functional teams, including data scientists, researchers, and software engineers to refine and iterate data sets
Contributing to evolving specifications for AI-model training and data recipes
Navigating a dynamic environment and adapting to shifting guidelines and flexible priorities
Achieving target KPIs, including daily job count and average handle time per job, within specified data production windows
