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Liam Lee

Liam Lee

IT Specialist & Data Analyst — Data Labeling & Quality Assurance

USA flagTRB, Usa
$20.00/hrExpertScale AILabelboxCVAT

Key Skills

Software

Scale AIScale AI
LabelboxLabelbox
CVATCVAT
MercorMercor
AWS SageMakerAWS SageMaker
AppenAppen

Top Subject Matter

Internal analytics
business intelligence
and AI/ML systems

Top Data Types

DocumentDocument
TextText
ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

IT Specialist & Data Analyst — Data Labeling & Quality Assurance. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Excel. Education includes Bachelor of Science, Azusa Pacific University (2019). AI-training focus includes data types such as Document and Text and labeling workflows including Classification.

ExpertEnglish

Labeling Experience

IT Specialist & Data Analyst — Data Labeling & Quality Assurance

DocumentClassification
Processed and labeled structured and unstructured datasets to ensure consistency and accuracy for analytics pipelines and AI/ML training. Created automated Python scripts to extract, transform, and validate large-scale data suitable for annotation workflows. Developed Power BI dashboards to visualize labeled data quality and metrics for stakeholders. • Managed and cleaned databases, applying rigorous quality assurance to maintain data integrity • Applied data protection and cybersecurity practices during handling of sensitive data • Collaborated in Agile teams, showing proficiency in distributed annotation environments • Adapted annotation workflows to project guidelines using internal/proprietary tools

Processed and labeled structured and unstructured datasets to ensure consistency and accuracy for analytics pipelines and AI/ML training. Created automated Python scripts to extract, transform, and validate large-scale data suitable for annotation workflows. Developed Power BI dashboards to visualize labeled data quality and metrics for stakeholders. • Managed and cleaned databases, applying rigorous quality assurance to maintain data integrity • Applied data protection and cybersecurity practices during handling of sensitive data • Collaborated in Agile teams, showing proficiency in distributed annotation environments • Adapted annotation workflows to project guidelines using internal/proprietary tools

2021 - Present

Sales Data Annotation & Dashboard Project

DocumentClassification
Collected, cleaned, and labeled sales data across multiple categories to develop an interactive Power BI dashboard. Structured and annotated data for customer behavior pattern recognition and revenue trend tracking, closely mirroring AI training dataset tasks. Delivered consistently labeled datasets for accurate visual analytics and stakeholder reporting. • Followed detailed labeling guidelines to ensure dataset usability • Applied data cleaning steps using Power BI and Excel • Integrated labeled data into dashboard and report visualizations • Supported AI/ML data pipeline needs with high annotation consistency

Collected, cleaned, and labeled sales data across multiple categories to develop an interactive Power BI dashboard. Structured and annotated data for customer behavior pattern recognition and revenue trend tracking, closely mirroring AI training dataset tasks. Delivered consistently labeled datasets for accurate visual analytics and stakeholder reporting. • Followed detailed labeling guidelines to ensure dataset usability • Applied data cleaning steps using Power BI and Excel • Integrated labeled data into dashboard and report visualizations • Supported AI/ML data pipeline needs with high annotation consistency

2021 - 2021

Web Developer Intern (Data & Content Operations) — Data Annotation Support

DocumentClassification
Supported data entry, categorization, and validation mimicking structured data annotation processes. Organized, cleaned, and visualized datasets using Excel and Power BI to ensure consistency for downstream tasks. Systematically reviewed and classified large volumes of web content as part of migration and restructuring. • Focused on data accuracy and standardization to prepare label-ready datasets • Built experience using CMS and Excel for structured annotation tasks • Developed habits of careful review for quality assurance • Demonstrated results-focused ethic in annotation-related work

Supported data entry, categorization, and validation mimicking structured data annotation processes. Organized, cleaned, and visualized datasets using Excel and Power BI to ensure consistency for downstream tasks. Systematically reviewed and classified large volumes of web content as part of migration and restructuring. • Focused on data accuracy and standardization to prepare label-ready datasets • Built experience using CMS and Excel for structured annotation tasks • Developed habits of careful review for quality assurance • Demonstrated results-focused ethic in annotation-related work

2019 - 2021

IT Support Automation Script (Python) — Text Classification & Annotation

TextClassification
Developed a Python script to parse and classify system logs for error pattern detection, producing structured reports. Labeled and annotated text-based logs as part of automation and IT support workflows. Directly performed text classification analogous to standard AI dataset annotation procedures. • Used Python to automate parsing and classification of log data • Enhanced IT reporting with structured, labeled outputs • Applied classification concepts suitable for model training • Maintained high quality by reviewing automatic classifications for correctness

Developed a Python script to parse and classify system logs for error pattern detection, producing structured reports. Labeled and annotated text-based logs as part of automation and IT support workflows. Directly performed text classification analogous to standard AI dataset annotation procedures. • Used Python to automate parsing and classification of log data • Enhanced IT reporting with structured, labeled outputs • Applied classification concepts suitable for model training • Maintained high quality by reviewing automatic classifications for correctness

2020 - 2020

Education

A

Azusa Pacific University

Bachelor of Science, Information Technology

Bachelor of Science
2019 - 2019

Work History

T

Techlink Solutions

IT Specialist

TRB
2021 - Present
D

Digitalbridge

Web Developer Intern

California
2019 - 2021