Aderonke Adewoyin

Key Skills

Software

Prodigy

CVAT

Other

Top Subject Matter

Legal Services & Contract Review

Medical Domain Expertise

Financial Domain Expertise

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity Ner Classification

Bounding Box

Transcription

Classification

Freelancer Overview

Data Labelling Specialist & AI Annotation Reviewer. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Prodigy, CVAT, and Google Sheets. Education includes Bachelor of Science, University of Ilorin (2020). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Bounding Box, and Transcription.

Labeling Experience

Data Labelling Specialist & AI Annotation Reviewer

AudioTranscription

In support of multimodal AI datasets, I performed transcription and labeling of audio data used in natural language and voice recognition systems. Tasks included labeling conversational speech segments, speaker roles, and transcribing audio clips with high accuracy. Consistent use of detailed guidelines ensured strong inter-annotator scores and reliable outputs. • Worked on speech-to-text and audio event labeling for chatbot and dialog systems. • Utilized Google Sheets/Excel for tracking, QA, and audit trails. • Provided feedback and guidance on ambiguous/edge cases in team calibration sessions. • Met throughput demands on high-volume batches while retaining labeling quality.

In support of multimodal AI datasets, I performed transcription and labeling of audio data used in natural language and voice recognition systems. Tasks included labeling conversational speech segments, speaker roles, and transcribing audio clips with high accuracy. Consistent use of detailed guidelines ensured strong inter-annotator scores and reliable outputs. • Worked on speech-to-text and audio event labeling for chatbot and dialog systems. • Utilized Google Sheets/Excel for tracking, QA, and audit trails. • Provided feedback and guidance on ambiguous/edge cases in team calibration sessions. • Met throughput demands on high-volume batches while retaining labeling quality.

2021 - Present

Data Labelling Specialist & AI Annotation Reviewer

CVATImageBounding Box

I provided image and video annotation services supporting computer vision training data requirements for diverse domains. Using CVAT and VGG Annotator, I performed bounding box, polygon, and segmentation masking to prepare datasets for robust model development. My work consistently met and exceeded quality assurance criteria for accuracy and consistency. • Labeled objects, actions, and scenes for image and video frames using standardized annotation schemas. • Applied advanced object tracking and polygon techniques in dynamic frames. • Regularly reviewed and corrected annotations as quality lead for peer submissions. • Supported dataset validation, refinement, and audit trail creation via Google Sheets and Excel.

I provided image and video annotation services supporting computer vision training data requirements for diverse domains. Using CVAT and VGG Annotator, I performed bounding box, polygon, and segmentation masking to prepare datasets for robust model development. My work consistently met and exceeded quality assurance criteria for accuracy and consistency. • Labeled objects, actions, and scenes for image and video frames using standardized annotation schemas. • Applied advanced object tracking and polygon techniques in dynamic frames. • Regularly reviewed and corrected annotations as quality lead for peer submissions. • Supported dataset validation, refinement, and audit trail creation via Google Sheets and Excel.

2021 - Present

Data Labelling Specialist & AI Annotation Reviewer

ProdigyTextEntity Ner Classification

As a Data Labelling Specialist & AI Annotation Reviewer, I performed large-scale text-based annotation for NLP pipelines spanning several domains. I specialized in tasks including named entity recognition, sentiment analysis, intent classification, and conversational chatbot annotation, ensuring high accuracy and inter-annotator agreement. Using industry tools, I labeled, reviewed, and corrected labels while adhering strictly to guidelines and quality standards. • Expertly handled both simple and complex NER across legal, medical, financial, and open-domain corpora. • Consistently applied annotation rubrics and participated in calibration sessions to improve project standards. • Utilized Prodigy for active learning and iterative feedback improvement cycles. • Maintained project documentation and audit trails in structured tracking sheets.

As a Data Labelling Specialist & AI Annotation Reviewer, I performed large-scale text-based annotation for NLP pipelines spanning several domains. I specialized in tasks including named entity recognition, sentiment analysis, intent classification, and conversational chatbot annotation, ensuring high accuracy and inter-annotator agreement. Using industry tools, I labeled, reviewed, and corrected labels while adhering strictly to guidelines and quality standards. • Expertly handled both simple and complex NER across legal, medical, financial, and open-domain corpora. • Consistently applied annotation rubrics and participated in calibration sessions to improve project standards. • Utilized Prodigy for active learning and iterative feedback improvement cycles. • Maintained project documentation and audit trails in structured tracking sheets.

2021 - Present

Independent Data Annotation Specialist

OtherTextClassification

As an Independent Data Annotation Specialist, I completed diverse text annotation jobs to train NLP models. Assignments included topic and language classification, toxicity detection, relevance scoring, and machine translation validation. Through rapid onboarding and high throughput, I consistently maintained or exceeded accuracy benchmarks. • Annotated reading comprehension and question-answering items for model training. • Quickly adapted to new labelling schemes and domain vocabularies across projects. • Processed large task batches (500–1,000+ items/session) with accuracy over set thresholds. • Supported machine translation projects by validating semantic equivalence and fluency.

As an Independent Data Annotation Specialist, I completed diverse text annotation jobs to train NLP models. Assignments included topic and language classification, toxicity detection, relevance scoring, and machine translation validation. Through rapid onboarding and high throughput, I consistently maintained or exceeded accuracy benchmarks. • Annotated reading comprehension and question-answering items for model training. • Quickly adapted to new labelling schemes and domain vocabularies across projects. • Processed large task batches (500–1,000+ items/session) with accuracy over set thresholds. • Supported machine translation projects by validating semantic equivalence and fluency.

2020 - 2021

Education

Work History