Adeyeye I.

Key Skills

Software

Data Annotation Tech

Dataloop

Internal/Proprietary Tooling

Micro1

Top Subject Matter

Speech Recognition

Speech Disorders

Inclusive Communication

Top Data Types

Text

Document

Image

Top Task Types

Classification

Text Generation

Question Answering

Text Summarization

Fine-tuning

Transcription

Evaluation/Rating

Data Collection

Freelancer Overview

AI Researcher and Data Analyst (Speech Recognition Evaluation). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Federal University Oye-Ekiti (2023). AI-training focus includes data types such as Audio and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Bias Assessor (Humanitarian AI Applications)

Text

I developed and applied a framework to assess biases in humanitarian-focused AI systems using mixed-methods research on model data outputs. Tasks included evaluating text data, scoring model responses for bias, and providing recommendations for error reduction. This work improved ethical AI system development and reduced errors in real-world deployments. • Labeled and assessed bias in AI-generated text outputs. • Conducted bias scoring and qualitative data analysis. • Provided actionable insights to guide ethical model tuning. • Led bias mitigation strategies based on labeling results.

2025 - 2025

AI Evaluation (Speech-to-Text for Children with Speech Impairments)

Text

I researched and evaluated speech-to-text systems for pediatric speech disorders by rating system predictions and benchmarking model accuracy. Annotation included measuring performance with industry-standard metrics and providing qualitative feedback on recognition quality. The project required careful analysis of AI outputs to refine model capabilities for inclusive access needs. • Rated and evaluated text transcriptions generated by AI. • Conducted benchmarking using WER, MER, and WIL metrics. • Provided model feedback for accuracy improvements. • Supported research adopted by NGOs for implementation.

2025 - 2025

AI Researcher and Data Analyst (Speech Recognition Evaluation)

Audio

I developed structured data pipelines and workflows for training AI models, with a focus on speech-to-text tasks for children with speech impairments. I contributed to improving model performance through audio data preprocessing, annotation, and model evaluation using standard metrics. This involved assessing AI outputs and refining datasets for robust speech recognition capabilities. • Improved audio data quality for AI speech recognition. • Evaluated and rated AI-generated transcriptions for errors. • Collaborated in research leading to publication at a major AI conference. • Produced technical documentation supporting data labeling workflows.

2024 - 2025

Education

Work History