Chukwudi U.

Key Skills

Software

Other

Mercor

Google Cloud Vertex AI

Top Subject Matter

Biomedical/clinical life sciences

biomedical terminology

Anatomy Domain Expertise

Top Data Types

Text

Document

Medical Dicom

Top Task Types

Classification

RLHF

Evaluation/Rating

Segmentation

Object Detection

Text Summarization

Data Collection

Transcription

Freelancer Overview

Researcher (Iclose Healthcare) — data annotation and classification for biological/clinical research (2024–Present). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Public Health, Ahmadu Bello University (2026) and Bachelor of Medicine and Bachelor of Surgery, University of Nigeria (2021). AI-training focus includes data types such as Text and labeling workflows including Classification and Entity (NER).

Labeling Experience

Researcher (Iclose Healthcare) — data annotation and classification for biological/clinical research (2024–Present)

OtherTextClassification

You performed data labeling by coding and categorizing large volumes of biological and clinical information according to strict research protocols. You also labeled and evaluated scientific content during systematic literature reviews for relevance and accuracy. You maintained audit trails and detailed records to ensure data integrity and reproducible study outputs. • Coded and categorized biological/clinical datasets based on predefined protocols • Labeled literature content for relevance and accuracy during reviews • Developed and refined data classification frameworks with multidisciplinary teams • Trained junior researchers on data collection standards and quality assurance

2024 - Present

Research Intern (Memfys Hospital, Enugu) — biomedical dataset annotation and taxonomy-based classification (2021–2022)

OtherText

You performed data annotation by organizing experimental datasets and applying domain-specific taxonomies to classify biomedical samples and patient/research records. You ensured consistency of labeling across multiple raters to improve inter-rater reliability. Your work supported standardized preparation of labeled data for ongoing biomedical studies. • Annotated and organized experimental datasets for ongoing studies • Classified biomedical samples and patient records using domain taxonomies • Ensured consistent labeling across multiple raters for higher inter-rater reliability • Supported preparation of standardized labeled research outputs

2021 - 2022

Education

Work History