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A
Adeola M.

Adeola M.

Language/Data/Audio Annotator

Nigeria flagLagos, Nigeria

Key Skills

Software

Other
TelusTelus
AppenAppen
OneFormaOneForma
RemotasksRemotasks

Top Subject Matter

Speech Recognition
Text Labeling/Sentiment Analysis
AI Data Quality Improvement

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

TranscriptionTranscription
ClassificationClassification
SegmentationSegmentation
Text SummarizationText Summarization
Text GenerationText Generation
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Fine-tuningFine-tuning

Freelancer Overview

Language/Data/Audio Annotator. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Native English and Spanish speaker with a strong academic foundation, and extensive experience in language evaluation, text annotation, and AI-driven content analysis. I have expanded my professional expertise, particularly in the fields of language evaluation, search relevance analysis, and AI-driven content development. Experienced in query classification, content relevance evaluation, QA, transcription, and detailed text review, I excel at interpreting user intent and applying complex client guidelines with accuracy and consistency Education includes Master of Arts, University College London (2021) and Bachelor of Arts, University College London (2019). AI-training focus includes data types such as Text and labeling workflows including Transcription, Classification, and Evaluation.

Labeling Experience

AI Data Annotation Specialist – Multimodal Content Labeling

TextTextClassificationClassification

Handled large scale AI training datasets across text, audio, and image annotation. Performed tasks such as sentiment analysis, intent classification, named entity recognition, and precise audio transcription while strictly following linguistic and formatting standards. Labeled diverse data spanning customer support, social media, and conversational AI use cases. Consistently achieved high accuracy levels (95%+ QA scores) by adhering to detailed guidelines and engaging in routine quality checks. Worked closely with QA teams to clarify uncertainties and ensure consistent labeling across datasets of over 100,000 entries.

2022 - Present

Education

U

University College London (UCL) | London, UK

Master of Arts, computational Linguistics, Literature

Master of Arts
2020 - 2021
U

University College London (UCL) | London, UK

Bachelor of Arts, English Language and Literature

Bachelor of Arts
2016 - 2019