Losepicho Paul

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Segmentation

Cuboid

Classification

Question Answering

Freelancer Overview

I am a detail-oriented Data Annotation Specialist with a strong background in Computer Science and hands-on experience in manual data labeling and dataset verification for AI training projects. My work involves meticulously researching and validating business information—such as company names, jurisdictions, directors, and revenue ranges—using official registries, corporate websites, LinkedIn, and news sources. I am highly skilled in data cleaning, quality control, and logical reasoning, ensuring accuracy and consistency across large datasets while strictly adhering to human-only annotation requirements. Proficient in Excel and Google Sheets, I am committed to delivering high-quality, verified data that supports the development of reliable AI and machine learning models.

Labeling Experience

Human Labeling Analyst / Data Researcher – Freelance

Data Annotation TechComputer Code ProgrammingSegmentationCuboid

Manually verified company data for AI model training, ensuring high data accuracy. Responsible for annotation of company information including jurisdiction, directors, shareholders, revenue range, and payment methods. Utilized official registries, websites, and data sources to ensure verified information, operating in spreadsheet environments. • All work executed without automation, emphasizing manual precision. • Highlighted and annotated values using Microsoft Excel for clear verification workflows. • Ensured quality control and data cleaning on labeled company documentation. • Engaged in OSINT research to cross-verify data reliability and completeness. Manually verified company data including jurisdiction, directors, shareholders, revenue ranges, and payment methods. Highlighted verified values in Excel and ensured high accuracy without automation.

Manually verified company data for AI model training, ensuring high data accuracy. Responsible for annotation of company information including jurisdiction, directors, shareholders, revenue range, and payment methods. Utilized official registries, websites, and data sources to ensure verified information, operating in spreadsheet environments. • All work executed without automation, emphasizing manual precision. • Highlighted and annotated values using Microsoft Excel for clear verification workflows. • Ensured quality control and data cleaning on labeled company documentation. • Engaged in OSINT research to cross-verify data reliability and completeness. Manually verified company data including jurisdiction, directors, shareholders, revenue ranges, and payment methods. Highlighted verified values in Excel and ensured high accuracy without automation.

2023

Education

Work History