Adedayo

Agency

Lagos, Nigeria

www.vnigeria.com

Key Skills

Software

Labelbox

Surge AI

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Document

Top Task Types

Classification

Object Detection

Text Generation

Question Answering

Text Summarization

Company Overview

Virtual Nigeria Ltd is West Africa's leading enterprise IT training and consulting firm. As the region's only Red Hat Certified Training Partner, we have spent over a decade building the technical capacity of Africa's most important organizations — from financial institutions and telecoms to government agencies and startups. Our state-of-the-art training facility in Ikoyi, Lagos brings together experienced Red Hat-certified instructors and a hands-on, lab-intensive learning methodology that consistently produces exam-ready professionals. Beyond AI training, our consulting arm delivers OpenShift deployments, cloud migrations, automation implementations, and full digital transformation programmes across Nigeria and across Africa.

Security

Security Overview

At Virtual Nigeria, we take data security seriously across every engagement. All client data is handled under strict confidentiality agreements and is accessible only to team members directly assigned to the project. We follow role-based access controls to ensure no one touches data they don't need to, and all work is conducted on secured, managed devices. Our processes align with standard data protection practices, and we are happy to sign NDAs or work within a client's own security framework where required. As a Red Hat Premier Partner, we operate within enterprise-grade security standards on a daily basis, so protecting sensitive information is already built into how we work.

Labeling Experience

LLM Eval and Tech Data Annotation: Infrastructure and Cloud-Native Domains

Other

Text

RLHF

Data Collection

We reviewed and rated AI-generated responses on technical topics including Kubernetes, OpenShift, Ansible, and cloud infrastructure automation. Tasks included evaluating response accuracy, flagging errors, correcting code, and providing structured written feedback to improve LLM output quality. All work was carried out by engineers with hands-on production experience in the relevant domains, ensuring feedback reflected real-world technical judgment rather than surface-level review.

2023 - Present