Text labeling
The Project was designed to detect the sentiments of the text.
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I am a skilled AI Data Annotator with hands-on experience in training data preparation, quality assurance, and annotation workflows, primarily gained through my work at Fyxer AI. Over the past months, I have contributed to projects involving text, audio, and voice-based annotation, helping improve machine learning models for customer support, voice interaction, and sentiment recognition. My work focused on delivering accurate, high-quality labeled datasets while adhering to strict guidelines and tight deadlines. I specialize in linguistic quality review, emotional tone tagging, intent classification, and annotation QA, and I’ve collaborated with linguists and engineers to refine project guidelines and enhance model accuracy. I’m also experienced with annotation tools, Google Workspace, and remote team coordination. My ability to combine attention to detail with a strong understanding of context and tone helps ensure the training data I work with is both consistent and impactful. Having Text labeling experience too.
The Project was designed to detect the sentiments of the text.
Bachelor's of Engineering, Computer Science And Engineering
High School Diploma, Intermediate Studies
Data annotator/ AI trainer
Data Annotator