Emmanuella I.

Key Skills

Software

Other

Top Subject Matter

UI/UX quality assurance and user behavior metrics for web/mobile platforms

Web3 protocols

data sovereignty education

Top Data Types

Text

Document

Top Task Types

Data Collection

Freelancer Overview

Technical Analyst & Quality Assurance (AI training-adjacent evaluation work). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Calabar (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Technical Analyst & Quality Assurance (AI training-adjacent evaluation work)

OtherText

Conducted comprehensive functional and visual testing for web and mobile applications, documenting visual inconsistencies, layout bugs, and logical breaks. Analyzed complex user data and conversion/profile metrics using qualitative rules to improve platform retention. Authored clear technical documentation with reproduction steps to support resolution of edge cases. • Evaluated user experience quality against defined design systems and accessibility guidelines. • Performed structured assessment of content layouts and structural hierarchies. • Applied strict criteria (e.g., 3-Second Conversion Rule) to judge outcomes. • Produced reporting artifacts to guide QA and development troubleshooting.

2026 - Present

Technical Content Creator & Specialist (query labeling via moderation)

OtherTextData Collection

Researched and synthesized decentralized storage, blockchain interoperability, and AI compute architectures into understandable educational content. Designed structured multi-slide visual guides to explain data sovereignty frameworks and decentralized encryption key storage. Moderated digital community channels by assessing and labeling user-generated queries for data quality and engagement. • Translated complex technical concepts into digestible formats for learners. • Created educational assets intended to support accurate knowledge transfer. • Reviewed incoming user queries and applied labeling criteria for quality. • Ensured labeled community data met engagement and accuracy standards.

2026 - 2026

Education

Work History