For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Nexis Kelvin

Nexis Kelvin

Data Annotation Specialist - Corporate Profiling

NIGERIA flag
ife, Nigeria
$25.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Label Types

Text Summarization

Freelancer Overview

I am a detail-oriented data annotation specialist with hands-on experience in manual company profiling, legal-entity verification, and structured data validation using open-source intelligence (OSINT). My work involves verifying and correcting key company attributes—such as jurisdiction, directors, shareholders, revenue range, and payment types—by cross-referencing official registries, company websites, LinkedIn, and press sources. I excel at managing text-first datasets that require logical evaluation and manual verification without automation tools, ensuring high accuracy and consistency in every project. My expertise includes advanced Excel-based annotation workflows, structured data formatting, and meticulous quality checks to detect and correct inconsistencies. I am highly analytical, detail-focused, and comfortable working independently on large, ongoing remote projects. My strong research skills and ability to interpret complex business and legal documents enable me to deliver reliable, high-quality training data for AI and data-driven applications.

IntermediateEnglishYoruba

Labeling Experience

data labelling

Internal Proprietary ToolingTextText Summarization
Worked on a structured, text-first OSINT dataset focused on company profiling and legal-entity verification. The project involved manually verifying, correcting, and enriching corporate records using publicly available sources such as official company registries, corporate websites, LinkedIn profiles, and press releases. Each record represented a unique company requiring careful analysis, logical reasoning, and cross-source validation.

Worked on a structured, text-first OSINT dataset focused on company profiling and legal-entity verification. The project involved manually verifying, correcting, and enriching corporate records using publicly available sources such as official company registries, corporate websites, LinkedIn profiles, and press releases. Each record represented a unique company requiring careful analysis, logical reasoning, and cross-source validation.

2025

Education

R

Redeemers University

Bachelor of Science, Computer Engineering

Bachelor of Science
2020 - 2025

Work History

A

Analysts' Data Services & Resources Limited

Research & Data Verification Assistant

Ibadan
2023 - 2024