Text data labeling
There wasn´t a max amount of prompts per day to reach because the client highlighted quality x quantity.
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One of my standout projects involved collaborating with a team to label a diverse dataset for a natural language processing (NLP) application. This required a deep understanding of linguistic nuances and cultural contexts to accurately annotate sentiment, intent, and named entities. I have experience utilizing various annotation tools and platforms, adhering to rigorous quality control standards, and iterating on feedback to refine the labeling process. My ability to quickly adapt to new guidelines and maintain high levels of precision under tight deadlines sets me apart in the field of data labeling and AI training data.
There wasn´t a max amount of prompts per day to reach because the client highlighted quality x quantity.
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