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Enoch Oyewole

Enoch Oyewole

AI Trainer & Data Annotator – Skin Disease Classifier Project

Nigeria flagLagos, Nigeria
$14.00/hrIntermediateOtherLabelbox

Key Skills

Software

Other
LabelboxLabelbox

Top Subject Matter

Medical Imaging (Dermatology)
LLM Prompt Writing and Evaluation

Top Data Types

ImageImage
TextText

Top Task Types

DiagnosisDiagnosis
ClassificationClassification
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

AI Trainer & Data Annotator – Skin Disease Classifier Project. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Redeemer's University (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Diagnosis, Evaluation, and Rating.

IntermediateEnglish

Labeling Experience

AI Trainer & Data Annotator – Prompt Evaluation and Text Rating

OtherText
Wrote and evaluated prompts for machine learning models to determine the usefulness and relevance of generated outputs. Performed written review and critical analysis of LLM outputs compared to prompts, ensuring clarity, accuracy, and value of text responses. Applied structured rating criteria to judge output utility and provided written feedback for model improvement. • Designed prompts for structured AI evaluation. • Assessed text outputs for correctness and clarity. • Provided reasoned preferences in pairwise model output comparisons. • Delivered concise written feedback for dataset curation.

Wrote and evaluated prompts for machine learning models to determine the usefulness and relevance of generated outputs. Performed written review and critical analysis of LLM outputs compared to prompts, ensuring clarity, accuracy, and value of text responses. Applied structured rating criteria to judge output utility and provided written feedback for model improvement. • Designed prompts for structured AI evaluation. • Assessed text outputs for correctness and clarity. • Provided reasoned preferences in pairwise model output comparisons. • Delivered concise written feedback for dataset curation.

2025 - 2025

AI Trainer & Data Annotator – Skin Disease Classifier Project

OtherImageDiagnosis
Developed and evaluated a deep learning model for classifying seven skin diseases from medical images. Manually reviewed and compared model predictions with ground truth labels to assess performance, spot edge cases, and identify annotation errors. Used HAM10000 dataset and conducted detailed model output analysis including accuracy measurement and failure examination. • Evaluated model outputs for classification accuracy and labeling consistency. • Detected edge cases by thorough examination of prediction errors. • Used transfer learning strategies for model comparisons involving EfficientNet, ResNet50, and DenseNet121. • Assured data quality by verifying dataset integrity and labeling accuracy.

Developed and evaluated a deep learning model for classifying seven skin diseases from medical images. Manually reviewed and compared model predictions with ground truth labels to assess performance, spot edge cases, and identify annotation errors. Used HAM10000 dataset and conducted detailed model output analysis including accuracy measurement and failure examination. • Evaluated model outputs for classification accuracy and labeling consistency. • Detected edge cases by thorough examination of prediction errors. • Used transfer learning strategies for model comparisons involving EfficientNet, ResNet50, and DenseNet121. • Assured data quality by verifying dataset integrity and labeling accuracy.

2025 - 2025

Education

R

Redeemer's University

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2025

Work History

N

NETCO

IT Support Intern

Lagos
2024 - 2024