Data Annotator, DataAnnotation.tech (March 2023 – Present)
Served as a Data Annotator providing comparative analysis and structured quality evaluation of AI-generated code explanations and solutions. Assessed outputs for logical correctness, efficiency, readability, and consistency across multiple programming languages, then delivered actionable feedback to improve model performance. Worked on refining natural language generation in technical contexts by rating responses and highlighting errors or opportunities for improvement. • Performed comparative review of AI code explanations and solutions • Identified errors, inconsistencies, and areas for improvement • Provided structured feedback and quality ratings for outputs • Evaluated logical correctness, efficiency, and readability