Cornelius K.

Key Skills

Software

AWS SageMaker

CrowdSource

Dataloop

Roboflow

Top Subject Matter

Cybersecurity & Information Security

Cloud Computing & IT Infrastructure

Data Collection, Annotation & Quality Assurance

Top Data Types

Text

Document

Image

Top Task Types

RLHF

Text Summarization

Classification

Evaluation/Rating

Segmentation

Freelancer Overview

I am a Nairobi-based IT and cybersecurity professional with 10+ years of hands-on experience across enterprise security platforms, cloud infrastructure, and systems administration. I hold current specialist certifications in IBM QRadar SIEM/SOAR/EDR, Logsign Unified Security Operations, AWS Cloud Practitioner, and Cisco CCNA — giving me practitioner-level technical depth that translates directly into high-accuracy AI training work. I have evaluated, configured, and maintained the exact tools and systems that AI companies are building models to understand, which means I can assess whether an AI-generated technical response is correct, complete, and contextually appropriate — not just grammatically sound. On AI training projects, I bring structured analytical thinking, professional written English, and verified domain expertise across cybersecurity, cloud computing, networking, Linux/Windows systems, and IT operations. I have supported large-scale data collection deployments serving 5,000+ field users, managed compliance-driven documentation, and consistently delivered work to exacting quality standards. Whether the task is evaluating LLM responses on security topics, annotating technical prompts, reviewing code for correctness, or labeling IT and cloud content — I bring genuine subject-matter knowledge, not surface-level familiarity.

Labeling Experience

Technical Domain Evaluation — Cybersecurity & Cloud AI Responses

TextRLHF

Evaluated and annotated AI-generated responses across cybersecurity, cloud infrastructure, and IT systems domains. Tasks included assessing factual accuracy of LLM outputs on topics such as SIEM configuration, firewall rule design, network security architecture, AWS cloud services, and Linux/Windows system administration. Applied structured rating rubrics to compare and rank model responses, flagged technically incorrect or misleading content, and provided corrective written annotations grounded in hands-on professional experience. Reviewed AI-generated code snippets for security vulnerabilities and logical correctness. Delivered high-accuracy evaluations drawing on IBM QRadar SIEM/SOAR/EDR, Logsign, Fortinet NGFW, and AWS certifications — specialist depth that directly supports accurate technical AI training data.

2024 - Present

National Horticulture Programme — Mobile Data Collection & Quality Assurance

DocumentData Collection

Led deployment and quality assurance of a large-scale mobile data collection system using GeoODK across all 47 counties of Kenya, supporting 5,000+ active field users. Designed structured data capture forms, trained field enumerators on data entry protocols, monitored incoming data streams for completeness and accuracy, and resolved quality issues in real time. Managed validation and annotation of GPS-tagged field records to ensure compliance with national programme reporting standards. Oversaw the full data pipeline from point-of-collection through to aggregate dashboards used for policy reporting. Achieved 98% data accuracy across all collection points through rigorous QA protocols and structured data governance practices.

2023 - 2025

Education

Work History