Henry Edeh

Key Skills

Software

Label Studio

Appen

Top Subject Matter

Field data collection and campaign monitoring

Digital platform dataset preparation and QA

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Data Labeling & Annotation Specialist. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Appen. Education includes Bachelor of Science, University of Nigeria, Nsukka (2018) and Senior Secondary School Certificate Examination, Community Secondary School, Umuhuali (2013). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

AI Data Labeling & Annotation Specialist

Label StudioTextClassification

As an AI Data Labeling & Annotation Specialist, I performed data verification, anomaly detection, and dataset validation for mobile application data. I annotated and validated collected field data, conducting data quality checks and correcting inconsistencies prior to centralization. My work focused on ensuring accuracy and reliability of digital records for large-scale digital monitoring systems. • Tagged and classified data from various mobile forms including ODK, KoboCollect, SurveyCTO, and Ipolongo. • Applied standardized annotation guidelines for dataset consistency and reliability. • Trained field staff in structured data entry to reduce data discrepancies. • Supported QA and anomaly detection processes in digital data management.

As an AI Data Labeling & Annotation Specialist, I performed data verification, anomaly detection, and dataset validation for mobile application data. I annotated and validated collected field data, conducting data quality checks and correcting inconsistencies prior to centralization. My work focused on ensuring accuracy and reliability of digital records for large-scale digital monitoring systems. • Tagged and classified data from various mobile forms including ODK, KoboCollect, SurveyCTO, and Ipolongo. • Applied standardized annotation guidelines for dataset consistency and reliability. • Trained field staff in structured data entry to reduce data discrepancies. • Supported QA and anomaly detection processes in digital data management.

2025 - 2025

Data Entry / Data Quality Associate

AppenTextClassification

As a Data Entry / Data Quality Associate, I collected, verified, and organized large digital datasets for structured recordkeeping. I performed data validation, categorization, and review to ensure labeling accuracy and data consistency. My role directly supported the maintenance of high-quality labeled datasets for reporting and analytics. • Identified and classified inconsistencies, missing values, and errors in data records. • Maintained structured digital records for downstream project use. • Collaborated with team members for collective motivation and QA. • Ensured compliance with data annotation standards and project goals.

As a Data Entry / Data Quality Associate, I collected, verified, and organized large digital datasets for structured recordkeeping. I performed data validation, categorization, and review to ensure labeling accuracy and data consistency. My role directly supported the maintenance of high-quality labeled datasets for reporting and analytics. • Identified and classified inconsistencies, missing values, and errors in data records. • Maintained structured digital records for downstream project use. • Collaborated with team members for collective motivation and QA. • Ensured compliance with data annotation standards and project goals.

2023 - 2023

Education

Work History