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Data Annotation TechNo subject matter listed
Computer Code Programming
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TextI have over five years of experience working with data through programming, preprocessing, and machine learning workflows. My background includes hands-on data annotation and freelance labeling work, where I’ve contributed to projects that require high attention to detail, consistency, and clear understanding of data quality standards. I’m experienced in building and cleaning datasets, evaluating model outputs, and applying structured guidelines to ensure reliable annotations across different data types. I also have strong technical skills in Python and applied ML, which allow me to approach labeling and evaluation with a deeper understanding of how training data impacts model performance. My experience spans data preprocessing, feature engineering, model testing, and error analysis—skills that complement and elevate my work in AI training and evaluation. I bring a mix of analytical thinking, technical proficiency, and careful judgment, making me well-suited for roles involving data labeling, AI training, content evaluation, or model-quality assessment.
The scope was to provide high quality dataset for AI training, the project has over 1000 evals, and we have a constant quality check of the submitted tasks.
Engineer, Civil Engineering in Biotechnology
Bachelor of Science, Engineering Sciences with Mention in Biological Engineering
Scientific Business Growth Intern
Mathematics and Science Tutor
