We are seeking a detail-oriented Data Analyst to evaluate, label, and analyze complex datasets that power our AI and machine learning models. In this role, you will go beyond basic data labeling by reviewing raw data to verify and correct existing labels, applying consistent annotations, and using Python to explore datasets, identify patterns in text and other data types, and interpret what the data represents. You will collaborate closely with our AI/ML engineering team to develop and refine annotation guidelines that improve data quality and model performance. Analyze diverse datasets to understand context, quality, and labeling requirements Perform accurate data annotation and labeling with strong attention to detail Clean and preprocess datasets by identifying and correcting errors, inconsistencies, and missing data Collaborate closely with engineers to develop and refine annotation guidelines and standards based on data insights Identify inconsistencies, ambiguities, or anomalies in the data and provide actionable feedback Support data quality assurance by reviewing and validating annotations for consistency and accuracy Document data characteristics, annotation processes, and best practices to maintain knowledge continuity