Alex T.

Key Skills

Software

Other

Top Subject Matter

AI training dataset annotation and dataset quality assurance

Dataset QA

Validation Domain Expertise

Top Data Types

Text

Document

Image

Top Task Types

Data Collection

Text Summarization

Text Generation

Freelancer Overview

Data Annotation & QA Specialist (Remote Freelancer). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Federal University Oye Ekiti (FUOYE) (2024). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Entity (NER).

Labeling Experience

Data Annotation & QA Specialist (Remote Freelancer)

OtherText

Evaluated and labeled large datasets for AI training by following strict multi-layered annotation guidelines. Performed quality checks to detect errors, inconsistencies, and edge cases that could reduce dataset reliability. • Labeled data according to detailed guideline rules • Conducted dataset QA and validation checks • Organized and categorized raw data into ML-ready formats • Adapted to updated guidelines and client feedback to maintain accuracy

2022 - Present

AI Data Labeling Specialist (Remote Project Contractor)

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Annotated text, image, and audio datasets for NLP and computer vision models using project SOPs. Conducted peer reviews of labeled outputs to maintain 98%+ accuracy across labeling batches. • Applied project SOPs to annotate multi-modal datasets • Performed peer reviews to enforce quality standards • Provided detailed feedback to improve annotation guidelines • Managed high-volume labeling targets (500+ items/day) under tight deadlines

2024 - 2025

Research & Data Documentation Assistant (Remote Contract)

OtherDocument

Cleaned, structured, and validated datasets for analysis and reporting while verifying data integrity against project standards. Documented discrepancies and supported data-driven decisions by identifying patterns, anomalies, and missing variables. • Cleaned and validated datasets for downstream use • Verified records against project standards • Documented discrepancies found during QA • Coordinated remotely to apply consistent labeling standards

2023 - 2024

Education

Work History