Hoàn N.

Key Skills

Software

No software listed

Top Subject Matter

Web threat intelligence

phishing and malicious web content classification

Top Data Types

Text

Computer Code Programming

Top Task Types

Classification

Freelancer Overview

Web Classification Analyst - Team Leader (Multimodal Data Annotation/QC Lead). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Associate Degree in Network Administration, BKACAD Academy of Technology (2016). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Classification.

Labeling Experience

Web Classification Analyst (Team Leader) - Webroot BrightCloud

Classification

Worked as a Web Classification Analyst and Team Leader supporting a global threat-intelligence and web filtering data workflow. Managed a team to classify websites and maintain dataset quality with an emphasis on accuracy and quality control. Led training and SOP updates to improve throughput and reliability while overseeing a German-speaking subgroup. • Managed a team of 7 analysts for website classification and data labeling workflows • Served as Quality Control (QC) lead and managed the German-speaking team to meet strict standards • Maintained an accuracy rate above 80% for malicious domains, phishing sites, and risky URLs • Trained new analysts and updated Standard Operating Procedures to improve processing speed

2018 - 2025

Web Classification Analyst - Team Leader (Multimodal Data Annotation/QC Lead)

TextClassification

Led multimodal content data labeling to build high-quality training datasets for machine learning models. Ensured labeled data accuracy and security compliance through continuous quality control and contextual auditing. Identified phishing sites and complex web details to support robust classifier training and verification. • Team leadership for multimodal content labeling, categorization, and cross-modal verification. • Quality control auditing to detect safety risks, data anomalies, and malicious elements. • Accuracy maintenance above 80% during contextual data review. • Training and SOP updates to standardize labeling processes across analysts.

2018 - 2025

Education

Work History