Nchewi Emori

Key Skills

Software

Appen

Telus

Other

Top Subject Matter

Search relevance

web content

Digital information systems

Top Data Types

Text

Audio

Document

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Entity Ner Classification

Freelancer Overview

AI Data Annotator & Content Evaluator. Core strengths include Appen, Telus, and Other. Education includes Bachelor of Science, University of Calabar (2021) and National Diploma, Akanu Ibiam Federal Polytechnic Unwana (2016). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance Data Analyst & Content Evaluator

OtherText

Worked as a Freelance Data Analyst and Content Evaluator, performing data annotation and content labeling tasks for AI and machine learning projects. Evaluated search engine results and digital content to improve accuracy, relevance, and overall quality, focusing on the Nigerian linguistic and cultural context. Maintained high standards for quality control and accuracy under tight deadlines in international team settings. • Conducted large-scale annotation and evaluation tasks. • Focused on guideline-based quality control for labeled data. • Enhanced AI model performance and user experience. • Delivered timely, high-accuracy results for global platforms.

Worked as a Freelance Data Analyst and Content Evaluator, performing data annotation and content labeling tasks for AI and machine learning projects. Evaluated search engine results and digital content to improve accuracy, relevance, and overall quality, focusing on the Nigerian linguistic and cultural context. Maintained high standards for quality control and accuracy under tight deadlines in international team settings. • Conducted large-scale annotation and evaluation tasks. • Focused on guideline-based quality control for labeled data. • Enhanced AI model performance and user experience. • Delivered timely, high-accuracy results for global platforms.

2023 - Present

Internet Assessor

TelusText

Assessed and evaluated search engine results and web content as an Internet Assessor for Telus. Ensured that content met relevance, accuracy, and user intent requirements while adhering to established guidelines. Applied SEO and evaluation principles to enhance the satisfaction of user queries for both Nigerian and global audiences. • Evaluated and rated the quality and trustworthiness of web pages. • Conducted intent analysis for content alignment with search queries. • Maintained accuracy and reliability while working independently. • Delivered consistent ratings in compliance with platform guidelines.

Assessed and evaluated search engine results and web content as an Internet Assessor for Telus. Ensured that content met relevance, accuracy, and user intent requirements while adhering to established guidelines. Applied SEO and evaluation principles to enhance the satisfaction of user queries for both Nigerian and global audiences. • Evaluated and rated the quality and trustworthiness of web pages. • Conducted intent analysis for content alignment with search queries. • Maintained accuracy and reliability while working independently. • Delivered consistent ratings in compliance with platform guidelines.

2019 - 2021

AI Data Annotator & Content Evaluator

AppenText

Contributed to AI development through data annotation, content classification, and quality evaluation tasks on the MatrixGo platform, operated by VerityLab (Appen affiliate). Focused on labeling and reviewing text, search queries, and web content to enhance machine learning model accuracy and user search experience. Followed detailed annotation guidelines and collaborated with distributed teams while maintaining quality control standards. • Labeled and reviewed search engine queries and web content. • Applied standardized guidelines to ensure dataset reliability. • Supported large-scale AI training efforts for text-based models. • Maintained compliance with strict project requirements.

Contributed to AI development through data annotation, content classification, and quality evaluation tasks on the MatrixGo platform, operated by VerityLab (Appen affiliate). Focused on labeling and reviewing text, search queries, and web content to enhance machine learning model accuracy and user search experience. Followed detailed annotation guidelines and collaborated with distributed teams while maintaining quality control standards. • Labeled and reviewed search engine queries and web content. • Applied standardized guidelines to ensure dataset reliability. • Supported large-scale AI training efforts for text-based models. • Maintained compliance with strict project requirements.

2018 - 2021

Education

Work History