Micheal Ogunseye

Key Skills

Software

Appen

Top Subject Matter

AI Language Model Training

Speech Recognition AI Training

Search Engine Evaluation and AI Relevance Training

Top Data Types

Text

Audio

Video

Top Task Types

Classification

Transcription

Freelancer Overview

Freelance Data Annotator & AI Training Contributor. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Doctor of Veterinary Medicine, N/A (2019) and Higher National Diploma, N/A (2021). AI-training focus includes data types such as Text and Audio and labeling workflows including Classification, Transcription, and Evaluation.

Labeling Experience

Freelance Transcription & Proofreading Contributor

AppenAudioTranscription

I conducted accurate transcription of audio files as part of broader efforts to train and improve AI speech recognition models. I ensured that all audio data was correctly transcribed, focusing on high accuracy and linguistic consistency. Adherence to project instructions and client specifications was always maintained. • Enhanced AI understanding of audio data through precise transcriptions. • Worked with multiple languages, contributing to model inclusivity. • Maintained a high standard of accuracy throughout the process. • Delivered transcribed datasets efficiently to project teams.

I conducted accurate transcription of audio files as part of broader efforts to train and improve AI speech recognition models. I ensured that all audio data was correctly transcribed, focusing on high accuracy and linguistic consistency. Adherence to project instructions and client specifications was always maintained. • Enhanced AI understanding of audio data through precise transcriptions. • Worked with multiple languages, contributing to model inclusivity. • Maintained a high standard of accuracy throughout the process. • Delivered transcribed datasets efficiently to project teams.

2021 - Present

Freelance Data Annotator & AI Training Contributor

AppenTextClassification

I annotated and labeled various textual datasets to enhance AI training models for improved natural language understanding. My daily tasks included ensuring linguistic correctness, proofreading, and maintaining consistency throughout the data samples. I worked under strict guidelines independently and met all project deadlines with global teams. • Improved textual data for natural language models. • Ensured high linguistic quality and clarity. • Adapted annotation approaches to specific project requirements. • Met tight deadlines while delivering accurate annotations.

I annotated and labeled various textual datasets to enhance AI training models for improved natural language understanding. My daily tasks included ensuring linguistic correctness, proofreading, and maintaining consistency throughout the data samples. I worked under strict guidelines independently and met all project deadlines with global teams. • Improved textual data for natural language models. • Ensured high linguistic quality and clarity. • Adapted annotation approaches to specific project requirements. • Met tight deadlines while delivering accurate annotations.

2020 - Present

Search Engine Evaluation Contributor

AppenText

I evaluated search engine results using provided guidelines, focusing on cultural and linguistic relevance for AI and algorithmic improvement. My work involved rating the accuracy and appropriateness of search outputs. This contributed to enhancing the relevance of algorithms for diverse user bases. • Applied detailed rating frameworks to search results. • Used contextual cultural and linguistic understanding for accuracy. • Supported multilingual evaluation projects. • Delivered insights to improve search algorithms and AI models.

I evaluated search engine results using provided guidelines, focusing on cultural and linguistic relevance for AI and algorithmic improvement. My work involved rating the accuracy and appropriateness of search outputs. This contributed to enhancing the relevance of algorithms for diverse user bases. • Applied detailed rating frameworks to search results. • Used contextual cultural and linguistic understanding for accuracy. • Supported multilingual evaluation projects. • Delivered insights to improve search algorithms and AI models.

2019 - Present

Education

Work History