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Lucia Tabone

Lucia Tabone

AI Data Annotator | Data Validation, QA & Pattern Analysis

United Kingdom flagEast Sussex, United Kingdom
$22.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Customer Support – CRM & Ticketing Systems
Data & Technology – Data Quality, Validation & Analysis
E-commerce – Customer Behaviour & Transaction Analysis

Top Data Types

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Top Task Types

Data Collection
Transcription
Text Summarization
Text Generation
Question Answering
Classification

Freelancer Overview

I have experience working with large datasets, focusing on data validation, quality assurance, and accuracy across CRM and reporting systems. I regularly analyse data, identify inconsistencies, and apply structured guidelines to ensure reliable outputs. My background in technical support has strengthened my attention to detail, logical thinking, and ability to work independently while maintaining high-quality standards.

Entry LevelEnglishItalian

Labeling Experience

Data Quality Assurance & Ticket Classification (Support Systems)

TextClassification
Reviewed and classified large volumes of customer support tickets, ensuring accurate categorisation and consistent data entry across CRM systems. Applied predefined guidelines to label and organise data, supporting efficient routing, reporting, and analysis. Performed quality assurance checks to identify errors, inconsistencies, and misclassified data, maintaining high accuracy standards. Contributed to improving data structure and usability by ensuring consistency across records. Worked with structured workflows and high-volume datasets, requiring attention to detail, consistency, and adherence to guidelines, aligning closely with data annotation and AI training tasks.

Reviewed and classified large volumes of customer support tickets, ensuring accurate categorisation and consistent data entry across CRM systems. Applied predefined guidelines to label and organise data, supporting efficient routing, reporting, and analysis. Performed quality assurance checks to identify errors, inconsistencies, and misclassified data, maintaining high accuracy standards. Contributed to improving data structure and usability by ensuring consistency across records. Worked with structured workflows and high-volume datasets, requiring attention to detail, consistency, and adherence to guidelines, aligning closely with data annotation and AI training tasks.

2022 - 2024

Behavioural Data Analysis & Pattern Identification (Ticketing)

TextData Collection
Analysed large datasets of ticketing and customer behaviour data to identify patterns, trends, and anomalies. Tasks included reviewing purchase activity, categorising user behaviour (e.g. home vs away ticket usage), and identifying duplicate or suspicious transactions based on matching data points. Applied structured criteria to detect inconsistencies, flag potential misuse, and ensure data accuracy across systems. Worked with multiple data sources to validate information and support decision-making processes. This required strong attention to detail, pattern recognition, and consistency when working with high volumes of data, aligning closely with data labeling and AI training workflows.

Analysed large datasets of ticketing and customer behaviour data to identify patterns, trends, and anomalies. Tasks included reviewing purchase activity, categorising user behaviour (e.g. home vs away ticket usage), and identifying duplicate or suspicious transactions based on matching data points. Applied structured criteria to detect inconsistencies, flag potential misuse, and ensure data accuracy across systems. Worked with multiple data sources to validate information and support decision-making processes. This required strong attention to detail, pattern recognition, and consistency when working with high volumes of data, aligning closely with data labeling and AI training workflows.

2022 - 2024

Data Validation & Annotation (CRM / Support Data)

TextClassification
Reviewed and validated large volumes of structured and unstructured customer support data within CRM and ticketing systems. Tasks included categorising queries, identifying inconsistencies, and ensuring data accuracy and consistency across datasets. Applied structured guidelines to assess and label data, supporting quality assurance processes and improving overall data reliability. Analysed patterns in support tickets and user behaviour to identify trends and contribute to process improvements. Worked with backend systems and APIs to investigate data discrepancies and ensure integrity. Maintained high accuracy standards while handling high-volume workloads, demonstrating strong attention to detail and consistency aligned with data annotation and AI training tasks.

Reviewed and validated large volumes of structured and unstructured customer support data within CRM and ticketing systems. Tasks included categorising queries, identifying inconsistencies, and ensuring data accuracy and consistency across datasets. Applied structured guidelines to assess and label data, supporting quality assurance processes and improving overall data reliability. Analysed patterns in support tickets and user behaviour to identify trends and contribute to process improvements. Worked with backend systems and APIs to investigate data discrepancies and ensure integrity. Maintained high accuracy standards while handling high-volume workloads, demonstrating strong attention to detail and consistency aligned with data annotation and AI training tasks.

2020 - 2022

Education

T

The TEFL Academy

Certificate in Teaching English as a Foreign Language, Teaching English as a Foreign Language

Certificate in Teaching English as a Foreign Language
2015 - 2015
V

Varndean College

Diploma, General Further Education

Diploma
2011 - 2013

Work History

M

Manchester United Football Club

Ticketing Executive

Manchester
2022 - 2024
A

Applied Systems

Technical Support Analyst

Brighton
2020 - 2022