Oluwafemi O.

Key Skills

Software

Other

AWS SageMaker

CVAT

Data Annotation Tech

Top Subject Matter

Speech-to-text and conversational AI (multimodal audio-text).

AI/LLM dataset preparation and structured workflow capture.

Top Data Types

Audio

Text

Image

Top Task Types

Transcription

Entity (NER) Classification

Segmentation

RLHF

Freelancer Overview

AI Audio Trainer / Data Annotator (Freelance, Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Higher National Diploma, Harvarde College of Science, Business and Management Studies (2023) and Certificate in Software Engineering, National Institute of Information Technology (2018). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription and Entity (NER) Classification.

Labeling Experience

AI Audio Trainer / Data Annotator (Freelance, Remote)

OtherAudioTranscription

Produced time-aligned audio transcriptions and conversational speech annotations to support speech-to-text and conversational AI training. Tagged speaker identities, timestamps, and audio events to enable supervised learning and evaluation of multimodal models. Performed quality assurance checks to maintain labeling accuracy, consistency, and adherence to dataset requirements. • Annotated audio datasets for speech-to-text and conversational AI models • Tagged speaker identities, timestamps, and audio events • Aligned audio and text for multimodal AI evaluation • Conducted QA to maintain high accuracy and consistency

2024 - 2025

Data Annotation Specialist (Freelance, Remote)

OtherTextEntity (NER) Classification

Annotated UI, image, and text data to support AI and LLM training workflows. Captured structured professional workflows from examples to support model learning and downstream generation. Followed detailed guidelines to ensure consistent, production-ready labels and performed double-checks and peer reviews to reach high accuracy targets. • Annotated UI, image, and text datasets for AI/LLM training • Recorded structured professional workflows for model learning • Followed detailed guidelines for consistent, production-ready datasets • Ensured 98%+ accuracy through double-checks and peer reviews

2023 - 2024

Education

Work History