JELLYFISH ANNOTATION PROJECT
The project required accurate segmentation of Command prompts meant to train Siri (Apple's Virtual Assistant)with guidelines requiring strict adherence.
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I have experience contributing to AI training and data annotation projects through data labeling, content evaluation, quality assurance, and guideline-based reviews. My work involves classifying data, assessing content accuracy and relevance, identifying inconsistencies, and maintaining high-quality standards across datasets. I am detail-oriented, analytical, and skilled at following complex instructions while ensuring consistency and accuracy. My strengths include research, data validation, pattern recognition, and quality control, which help improve the performance of AI and machine learning models. I adapt quickly to project requirements, work efficiently with large datasets, and deliver reliable, high-quality results. My background in technology and digital research further enables me to contribute effectively across a variety of domains and annotation tasks.
The project required accurate segmentation of Command prompts meant to train Siri (Apple's Virtual Assistant)with guidelines requiring strict adherence.
Audio projects required annotation by segmentation. Each task required a runtime of over 600Seconds. The tasks had strict guidelines, defaulting these led to ban of accounts.
Bachelor of Arts (Honours), Communication Studies
Data training specialist
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