Remotask Outlier Evaluator
Ranging from Text, Audio, etc, Mostly do the Evaluation and checking of the Data Quality for the AI (to be trained upon).
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I am an experienced data annotation and AI training contributor with a strong foundation in labeling tasks across various platforms including Outlier, cloud-based environments, and proprietary internal tools. My background includes handling diverse annotation types—ranging from text classification, image tagging, entity recognition, to conversational labeling—while maintaining high accuracy, consistency, and attention to detail across large datasets. My strengths lie in my ability to quickly understand project guidelines, adapt to new tools, and meet tight deadlines with minimal supervision. I’ve contributed to projects that support Natural Language Processing (NLP), Computer Vision, and Recommendation Systems, and I’m comfortable navigating both collaborative and independent workflows. I bring a deep sense of responsibility, a sharp eye for patterns and anomalies, and a commitment to delivering quality training data that accelerates model performance and trust.
Ranging from Text, Audio, etc, Mostly do the Evaluation and checking of the Data Quality for the AI (to be trained upon).
Bachelor's in Computer Science, Information Systems (Minor on Enterprise Data Engineering)
Data Specialist
Data Engineer (Governance & Quality)