Faith Oguntade

Key Skills

Software

AWS SageMaker

Appen

CrowdSource

Data Annotation Tech

Dataloop

Labelbox

Label Studio

Lionbridge

Mercor

Mindrift

OneForma

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Text

Top Task Types

Audio Recording

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

I am an experienced AI Language Reviewer and Data Annotation Specialist with over 7 years in linguistic quality assurance, model training, and content review for Language speech and text data. I have extensive expertise in annotating and evaluating AI-generated content for accuracy, naturalness, accent, grammar, and idiomatic usage, ensuring robust support for NLP and voice-driven AI projects. My work spans translation, transcription, subtitling, data annotation, and localization delivering actionable feedback and high-quality data for model refinement. Skilled at working remotely and collaborating with international teams, I leverage formal linguistics training and advanced annotation tools to exceed project standards. My strengths in accent detection, language authenticity, and native/non-native speech identification set me apart as a versatile contributor to cutting-edge AI training and evaluation efforts.

Labeling Experience

AI Text Data Annotation & Content Evaluation

Label StudioTextEntity Ner ClassificationClassification

Reviewed, annotated, and evaluated English text data for natural language processing projects, focusing on classification, named entity recognition, and content assessment. Assessed AI-generated text for accuracy, grammatical correctness, naturalness, and contextual relevance to support and refine large language models.

Reviewed, annotated, and evaluated English text data for natural language processing projects, focusing on classification, named entity recognition, and content assessment. Assessed AI-generated text for accuracy, grammatical correctness, naturalness, and contextual relevance to support and refine large language models.

2023 - 2025

English Document Annotation & Entity Classification

Data Annotation TechDocumentEntity Ner ClassificationSegmentation

Reviewed and annotated large sets of English documents for natural language processing purposes, focusing on entity recognition, text categorization, and linguistic quality assessment. Evaluated AI-generated written content for naturalness, grammar, context, and accuracy, providing detailed feedback and segmentation of language data for model training and validation.

Reviewed and annotated large sets of English documents for natural language processing purposes, focusing on entity recognition, text categorization, and linguistic quality assessment. Evaluated AI-generated written content for naturalness, grammar, context, and accuracy, providing detailed feedback and segmentation of language data for model training and validation.

2021 - 2023

English Speech Data Annotation & Quality Evaluation

AppenAudioEntity Ner ClassificationClassification

Annotated and evaluated large volumes of English voice data for AI training, focusing on accent identification, fluency, grammar, and linguistic authenticity. Provided detailed feedback on AI-generated speech outputs for naturalness and contextual appropriateness, supporting improvements in speech recognition and language model performance.

Annotated and evaluated large volumes of English voice data for AI training, focusing on accent identification, fluency, grammar, and linguistic authenticity. Provided detailed feedback on AI-generated speech outputs for naturalness and contextual appropriateness, supporting improvements in speech recognition and language model performance.

2017 - 2021

Education

Work History