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Victoria Richard

Victoria Richard

AI Data Labeler with Cybersecurity Diploma | Network & Threat Analysis

Canada flagOntario, Canada
$15.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
TextText

Top Task Types

Classification
Computer Programming Coding
Entity Ner Classification
Mapping
Object Detection

Freelancer Overview

I recently graduated from the Cybersecurity diploma program at ABM College, where I built a solid foundation in network security, threat detection, and log analysis. Although I’m new to AI training and data labeling, my background in cybersecurity has given me a sharp eye for detail and a strong understanding of structured data—skills that are a great fit for high-quality data annotation work. During my studies, I worked with real-world examples like system logs, incident reports, and simulated attacks, where I learned to spot patterns, classify security events, and identify potential threats. I’m especially comfortable working with text and tabular data, such as phishing emails, suspicious login records, and alert logs. I’m excited to apply these skills to help train AI systems focused on cybersecurity, fraud detection, and IT monitoring.

Entry LevelFrenchEnglish

Labeling Experience

Canary Token Implementation

OtherTextClassification
In this project, I set up and managed canary tokens within a controlled network environment to act as deceptive triggers for detecting unauthorized access. I monitored the alerts generated when these tokens were triggered and carefully reviewed the event data to distinguish between false positives and genuine security incidents. This involved classifying alert types, annotating suspicious activities, and contributing to building accurate datasets for threat detection. The experience strengthened my skills in event log analysis, classification, and security incident annotation—key tasks that support AI training for cybersecurity systems.

In this project, I set up and managed canary tokens within a controlled network environment to act as deceptive triggers for detecting unauthorized access. I monitored the alerts generated when these tokens were triggered and carefully reviewed the event data to distinguish between false positives and genuine security incidents. This involved classifying alert types, annotating suspicious activities, and contributing to building accurate datasets for threat detection. The experience strengthened my skills in event log analysis, classification, and security incident annotation—key tasks that support AI training for cybersecurity systems.

2024 - 2024

Education

A

ABM College of Health and Technology

Diploma, Cyber Security

Diploma
2023 - 2025

Work History

J

JTG Systems

AI and Cybersecurity programs

Ontario
2024 - 2024