Gbenga T.

Key Skills

Software

Other

Top Subject Matter

Natural Language Processing (NLP)

transcription/captioning datasets

and AI training data QA

Top Data Types

Text

Audio

Top Task Types

Entity (NER) Classification

Transcription

Freelancer Overview

AI Data Annotator & QA Contributor (Freelance – Remote). Core strengths include Microsoft Excel, Google Sheets, and Other. Education includes Bachelor's Degree in Marketing, Federal Polythecnic Aod, Ekiti (2020). AI-training focus includes data types such as Text and Audio and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Labeling Experience

AI Data Annotator & QA Contributor (Freelance – Remote)

TextEntity (NER) Classification

Annotated and labeled text datasets for machine learning and NLP tasks including classification, sentiment analysis, and entity recognition. Performed transcription and captioning with high accuracy while maintaining strict adherence to annotation guidelines. Conducted quality assurance checks to improve dataset consistency and reduce labeling errors. • Labeled entities and supported structured labeling frameworks • Transcribed audio-to-text content and produced captions • Performed dataset QA validation for correctness and completeness • Reviewed outputs for relevance, clarity, and guideline compliance

2024 - 2026

AI Content Evaluator & Prompt Reviewer (Remote)

Text

Evaluated AI-generated responses for accuracy, tone, and adherence to instructions. Reviewed prompts and outputs to improve quality, usability, and consistency. Provided structured feedback to support improved AI model performance. • Assessed response correctness and instruction following • Rated or evaluated outputs for tone and clarity • Reviewed prompt-output pairs for consistency and usability • Supplied actionable feedback to strengthen future generations

2020 - 2026

Linguistic Data Reviewer / Transcription Specialist (Remote)

OtherAudioTranscription

Reviewed and annotated language datasets following strict quality standards. Performed audio-to-text transcription with high accuracy and ensured consistency across conversational datasets. Supported AI training workflows by validating and correcting transcription and annotation outputs. • Transcribed audio content into text accurately • Labeled conversational language data for AI training • Ensured consistency and correctness across dataset segments • Performed detailed validation for training-ready data

2022 - 2024

Education

Work History