Nyanchama Nyangau

Key Skills

Software

iMerit

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

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Freelancer Overview

I am an experienced AI data annotation and scenario review specialist with a strong background in remote sales and customer experience. My expertise lies in evaluating and labeling AI-generated customer interaction scenarios, identifying hidden risks, and ensuring data accuracy and realism to support high-quality AI training. I am skilled in analyzing customer intent, assessing prompt and response quality, and applying structured guidelines to maintain consistency and business impact. With hands-on experience across platforms like Remotasks, Handshake AI, Mindrift AI, and Avala AI, I excel at remote task execution, quality assurance, and collaborating with distributed teams. My practical understanding of frontline sales conversations and customer behavior enables me to deliver data that reflects real-world scenarios, builds trust, and supports improved AI performance. Am reliable, detail-oriented, and committed to delivering quality AI training data.

Labeling Experience

AI Data Annotator

ImeritImageBounding Box

As an AI Data Annotator, I was responsible for labeling and annotating diverse datasets used for machine learning training. I performed high-accuracy image tagging, bounding box annotation, object classification, text sentiment analysis, and intent categorization. Maintaining strict adherence to annotation guidelines, I contributed to enhancing model performance in multiple modalities. • Labeled image datasets with bounding boxes and object tags • Annotated text data for sentiment and intent • Consistently maintained 95%+ accuracy in labeling tasks • Ensured on-time delivery while following rigorous quality standards.

As an AI Data Annotator, I was responsible for labeling and annotating diverse datasets used for machine learning training. I performed high-accuracy image tagging, bounding box annotation, object classification, text sentiment analysis, and intent categorization. Maintaining strict adherence to annotation guidelines, I contributed to enhancing model performance in multiple modalities. • Labeled image datasets with bounding boxes and object tags • Annotated text data for sentiment and intent • Consistently maintained 95%+ accuracy in labeling tasks • Ensured on-time delivery while following rigorous quality standards.

2022

Education

Work History