AI Data Annotation & Quality Review for Backend Systems
Worked on structured data annotation and quality review tasks focused on backend systems, APIs, and technical content. Responsibilities included classifying text data, validating structured outputs, and reviewing system-generated responses for accuracy, consistency, and compliance with defined guidelines. Applied strong analytical skills to identify patterns, detect inconsistencies, and ensure high-quality labeled datasets. Experience includes reviewing technical documentation, API responses, and system logs, ensuring alignment with expected outputs and business rules. Maintained strict quality standards through iterative validation, error detection, and feedback loops. Leveraged backend engineering experience to improve annotation accuracy, particularly in complex, technical domains such as fintech systems, APIs, and data workflows.