RWS- Diamond Project
Identifying and categorizing named entities such as person names, organizations, locations, time expressions, quantities, and other pertinent entity types in text.
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I am an experienced data annotator and quality assurance professional with a strong background in supporting AI and machine learning projects. My experience includes annotating and labeling both text and image datasets to ensure high-quality training data for model development, as well as performing thorough quality checks for accuracy and consistency. I am skilled in using tools like Microsoft Office, Google Sheets, Excel, SPSS, and R for data analysis and management. My attention to detail, strong organizational skills, and ability to work independently under pressure enable me to consistently deliver reliable results in data labeling and quality assurance roles. I am passionate about learning new data analytics techniques and contributing to the success of AI-driven projects.
Identifying and categorizing named entities such as person names, organizations, locations, time expressions, quantities, and other pertinent entity types in text.
Counting and object tagging moving vehicles.
Pairwise comparisons, counting tasks, and object tagging tasks for images as content, or data collected.
Bachelor of Science, Mathematics
Quality Assurance Officer
AI Data Annotator (Remote)