Boluwatife Opadiran

Key Skills

Software

Label Studio

iMerit

Top Subject Matter

No subject matter listed

Top Data Types

Text

Audio

Top Label Types

Entity Ner Classification

Classification

Freelancer Overview

I am a dedicated Data Annotator and AI Training Specialist with 3 years of hands-on experience supporting machine learning and AI projects, primarily for Nigeria-based companies. My expertise spans text, image, audio, and video annotation for both NLP and computer vision tasks, including named entity recognition, sentiment analysis, text classification, and detailed image labeling using tools like Label Studio and CVAT. I have a proven track record of maintaining 90–95% accuracy and consistently meeting productivity targets in fast-paced, data-driven environments. I am skilled in following complex annotation guidelines, collaborating remotely with project managers and QA teams, and performing rigorous quality assurance to ensure data integrity. My work has directly contributed to the successful deployment of AI models in commercial and research applications, and I am committed to delivering high-quality, reliable training data for innovative AI solutions.

Labeling Experience

Data Annotator – Hugo Technologies

Label StudioTextEntity Ner Classification

As a Data Annotator at Hugo Technologies, I labeled and annotated large-scale text, image, and video datasets for machine learning and AI model training. My responsibilities included performing named entity recognition, sentiment analysis, text categorization, video caption writing, and image annotation using bounding boxes and object labeling for computer vision models. I also conducted quality assurance checks to ensure data accuracy and guideline compliance. • Maintained 95%+ annotation accuracy across multiple AI projects. • Collaborated with project managers to resolve data inconsistencies and edge cases. • Specialized in both NLP and computer vision annotation workflows. • Annotated, reviewed, and delivered high-quality training data under strict deadlines.

As a Data Annotator at Hugo Technologies, I labeled and annotated large-scale text, image, and video datasets for machine learning and AI model training. My responsibilities included performing named entity recognition, sentiment analysis, text categorization, video caption writing, and image annotation using bounding boxes and object labeling for computer vision models. I also conducted quality assurance checks to ensure data accuracy and guideline compliance. • Maintained 95%+ annotation accuracy across multiple AI projects. • Collaborated with project managers to resolve data inconsistencies and edge cases. • Specialized in both NLP and computer vision annotation workflows. • Annotated, reviewed, and delivered high-quality training data under strict deadlines.

2024 - 2025

Junior Data Annotator - iMerit

ImeritAudioClassification

As a Junior Data Annotator at iMerit, I labeled and validated text and audio datasets for speech recognition and conversational AI projects. I transcribed and annotated audio data, maintained detailed annotation documentation, and assisted with dataset reviews and updates. I upheld strict quality and formatting standards while consistently meeting productivity and accuracy targets. • Supported AI models in real-world commercial and research applications. • Achieved 90–95% quality scores throughout multiple projects. • Assisted in guideline updates and error correction in annotation output. • Ensured accurate documentation of annotation decisions and revisions.

As a Junior Data Annotator at iMerit, I labeled and validated text and audio datasets for speech recognition and conversational AI projects. I transcribed and annotated audio data, maintained detailed annotation documentation, and assisted with dataset reviews and updates. I upheld strict quality and formatting standards while consistently meeting productivity and accuracy targets. • Supported AI models in real-world commercial and research applications. • Achieved 90–95% quality scores throughout multiple projects. • Assisted in guideline updates and error correction in annotation output. • Ensured accurate documentation of annotation decisions and revisions.

2022 - 2024

Education

Work History