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MindriftNo subject matter listed
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TranscriptionI am an experienced AI content specialist with a strong background in data labeling, annotation, and reinforcement learning from human feedback (RLHF). My expertise lies in evaluating and ranking large language model (LLM) outputs for accuracy, safety, and nuance, as well as designing complex prompts to test model boundaries. With over five years in digital content analysis and marketing, I have developed a keen eye for linguistic precision, fact-checking, and bias detection—skills crucial for training advanced NLP systems. I am adept at categorizing datasets, explaining content quality, and ensuring data integrity, using tools like Google Workspace, Trello, and AI benchmarking platforms. My hands-on experience with content taxonomy and quality frameworks, combined with a deep understanding of user intent, allows me to contribute to building safer and more effective AI models.
MindriftAudioTranscriptionManaged end-to-end data labeling for a diverse set of NLP and Audio datasets. Conducted Named Entity Recognition (NER) and sentiment analysis to train enterprise-level chatbots. Acted as a QA Lead, reviewing peer annotations to ensure high Inter-Annotator Agreement (IAA) and resolving discrepancies to deliver 'ground truth' datasets for model deployment.
Professional Certificate, Data Analytics
