Ifeoluwa

Key Skills

Software

Other

Internal/Proprietary Tooling

Top Subject Matter

Nutrition and sodium intake survey research

Multimodal dataset annotation and AI response evaluation

Multimodal AI training data annotation

Top Data Types

Text

Image

Video

Top Task Types

Data Collection

Classification

Evaluation/Rating

Freelancer Overview

I have experience in AI data annotation and model training support, with expertise in labeling multimodal datasets (text, image and video), evaluating AI-generated responses, and conducting quality assurance to improve model accuracy and reliability. My qualifications include hands-on experience in AI training workflows, strong attention to detail, data quality management and guideline adherence.

Labeling Experience

Health Fellow — Federal Ministry of Health

OtherDocumentData Collection

Collected and managed field health data using KoboToolbox and ODK Collect to support ongoing public health activities. Analyzed and visualized resulting datasets in Excel and Power BI for data-driven health decision-making. Supported health interventions through community outreach and supervised teams during vaccination campaign operations. • Field data capture with KoboToolbox/ODK Collect • Dataset analysis and visualization in Excel/Power BI • Support for community health interventions • Team supervision during Measles-Rubella vaccination campaign

2025 - Present

Data Annotator — HUGO

ImageClassification

Annotated and labeled multimodal datasets including text, images, and video for AI model training. Ensured labels followed established annotation guidelines and maintained consistency across the dataset. Performed quality control checks to verify data reliability and reduce annotation variance. • Multimodal labeling (text/image/video) • Label consistency under guidelines • Quality control and reliability checks • Preparing labeled data for AI training

2024 - 2025

Data Annotator — HUGO

Text

Evaluated AI-generated responses for accuracy, relevance, and safety compliance to improve model outputs. Applied detailed annotation guidelines across large datasets while conducting quality control checks. Identified labeling errors and provided feedback to enhance overall model performance. • AI response accuracy/relevance/safety evaluation • Guideline adherence on large datasets • QA/QC checks for consistency and reliability • Error identification with corrective feedback

2024 - 2025

Research Assistant — National Sodium Survey

TextData Collection

Collected and organized 24-hour dietary recall data from study participants to support quantitative health research. Documented volunteer consent prior to survey activities and prepared reported datasets for downstream analysis. Collaborated with the medical laboratory team to collect urine samples for NCD risk evaluation. • Dietary recall data collection • Consent documentation • Coordination for spot urine and 24-hour urine sample collection • Supporting analysis of anthropometric/biochemical/dietary health risks

2023 - 2023

Education

Work History