Timothy O.

Key Skills

Software

CVAT

Data Annotation Tech

Labelbox

Scale AI

Top Subject Matter

QA testing and data validation for application and financial systems

AI training dataset annotation (text classification, sentiment, tagging)

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Classification

Text Summarization

Data Collection

Prompt + Response Writing (SFT)

Computer Programming/Coding

Segmentation

Freelancer Overview

Quality Assurance Analyst at The DataSeed Company (data validation/QA). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Science, Caleb University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Quality Assurance Analyst at The DataSeed Company (data validation/QA)

Text

Conducted manual validation and QA checks on application and user-generated data to ensure accuracy, consistency, and compliance with business rules. Identified dataset inconsistencies and anomalies during testing, then documented evidence for issue tracking and resolution. Supported large-scale financial system verification activities requiring careful review of customer and data integrity information.• Reviewed and validated structured transactional and user-generated records across multiple systems.• Performed detailed quality checks on web and mobile application data flow and functionality.• Collaborated with developers and analysts to improve data handling and system reliability.• Produced structured test evidence, reports, and documentation for bug tracking.

2025 - Present

Data Annotation & AI Support Specialist (Freelance, Remote)

TextClassification

Annotated and categorized datasets for AI model training and evaluation with a focus on text classification and sentiment-related labeling. Reviewed datasets for duplicate entries, inconsistencies, and labeling accuracy to maintain quality throughout the annotation process. Worked with both structured and unstructured data formats while meeting project deadlines.• Performed text classification, sentiment labeling, and content tagging tasks.• Verified labeling accuracy by checking for duplicates and inconsistencies.• Maintained high annotation accuracy while adhering to strict timelines.• Supported AI model training/evaluation through dataset preparation and review.

2024 - Present

Education

Work History