I am an analytical and detail-oriented AI data specialist with hands-on experience evaluating AI-generated content, developing rubrics, and managing data annotation projects for language models and machine learning systems. I have collaborated across platforms such as Mercor Intelligence, RWS, TELUS Digital, and Data Annotation Tech to deliver precise, rubric-driven data that improves model performance, factual accuracy, and domain relevance. I am passionate about building reliable, fair AI through rigorous human-in-the-loop processes and ethical data standards.
In cross-functional settings, I design and refine guidelines, monitor quality metrics, and implement improvements that drive scalable QA and data integrity. I thrive on turning complex requirements into structured evaluation and annotation workflows that empower teams to train better AI systems.
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