AI Response Evaluation and Data Annotation Specialist
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ClassificationWorked on AI training and data annotation projects involving the evaluation, classification, and quality assessment of AI-generated responses. Responsibilities included reviewing model outputs for accuracy, relevance, factual consistency, safety, and instruction adherence. Applied detailed annotation guidelines to categorize responses, identify errors, and provide feedback that contributed to model improvement. Annotated and reviewed thousands of text samples across multiple domains, including technology, education, business, and general knowledge. Maintained high-quality standards through regular quality assurance checks, consistency reviews, and adherence to project-specific metrics. Demonstrated strong analytical skills, attention to detail, and the ability to handle complex annotation tasks while meeting productivity targets and deadlines.