Ikechukwu D.

Key Skills

Software

Micro1

Top Subject Matter

Machine learning dataset labeling for AI models

Medical radiography and diagnostic imaging protocols

Top Data Types

Image

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

AI Data Annotator at Micro 1. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1. Education includes Bachelor of Science, University of Nigeria Nsukka (2025) and Senior Secondary School Certificate, Green Land Secondary School (2019). AI-training focus includes data types such as Image, Medical, and DICOM and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Annotator - Micro 1

ImageEntity (NER) Classification

As an AI Data Annotator, you optimized and labeled datasets to support machine learning development. You performed rigorous quality checks and applied standardization to maintain consistency across large-scale training data. You used specialized tools for multi-modal labeling of image and text data. • Annotated diverse datasets to improve model quality and reliability • Conducted quality assurance checks to ensure data accuracy • Applied multi-modal labeling for image and text • Followed strict project guidelines to standardize datasets

2026 - Present

Medical Radiographer at National Orthopaedic Hospital

You operated advanced medical imaging equipment to produce diagnostic-ready images for patient care. You ensured patient positioning and safety in preparation for radiographic examinations. You collaborated with medical staff to execute accurate imaging protocols and deliver timely results. • Diagnostic imaging operations • Patient positioning and safety preparation • Clinical collaboration on imaging protocols • Maintenance of an organized, sterile radiography workspace

2026 - Present

AI Data Annotator at Micro 1

Micro1ImageClassification

You annotated diverse image and text datasets to improve machine learning model quality and reliability. You performed rigorous quality checks to maintain 100% accuracy for training sets. You followed strict project guidelines to standardize labels across large-scale datasets. • Dataset optimization through accurate annotation • Quality assurance via systematic validation • Multi-modal labeling for image and text data • Standardization to maintain consistency across datasets

2026 - Present

Education

Work History