Data Annotation
Labeling text data according to detailed project guidelines Identifying intent, sentiment, tone, and context within user prompts Classifying content into predefined categories (e.g., request type, safety level, topic domain) Flagging sensitive or policy-violating content based on safety standards Ensuring accuracy and consistency across all annotations Reviewing AI-generated outputs and validating whether they follow instructions Providing structured feedback to help refine the model’s reasoning and response quality