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Geospatial Tiled ImageryI am an analytical and detail-oriented professional with hands-on experience in multi-modal AI data quality assurance, annotation, and linguistic evaluation across audio, text, and image domains. My recent work includes auditing voice data for phonetic accuracy, adjudicating linguistic conflicts as a native Taiwanese Mandarin speaker, evaluating map and search data for relevance, and ranking generative AI images based on complex criteria. I am skilled at following detailed SOPs, ensuring data integrity, and adapting to diverse project guidelines. With a strong foundation in biological sciences, financial analysis, and education, I bring subject matter expertise and a commitment to high-quality data annotation for training advanced AI models. I am proficient in using AI data annotation platforms, quality assurance methodologies, and am continuously expanding my technical skills in Python.
Evaluated and ranked generative AI images (A/B testing) based on multi-dimensional criteria, such as output quality and adherence to prompt instructions.
Performed two key roles: 1) Corrected and annotated AI-generated podcast transcripts by listening to the original Chinese audio to ensure high accuracy. 2) Acted as a Conflict Reviewer, making the final judgment on quality by listening to the original audio and comparing two different reviewers' submissions.
Assessed map search results for accuracy and relevance, ensuring alignment with user intent according to complex project guidelines.
Served as a Senior Reviewer for voice and audio data, auditing submissions for phonetic accuracy and adherence to annotation standards.
Bachelor of Science, Plant Pathology and Microbiology
self-employed trader
