Ebuke E.

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

OneForma

Mindrift

Remotasks

Top Subject Matter

Medical imaging (DICOM) and biomedical AI training

Clinical NLP and healthcare AI training data

Biomedical/document QA for training data quality

Top Data Types

Text

Document

Image

Top Task Types

Segmentation

Data Collection

Function Calling

Transcription

Text Summarization

Text Generation

Question Answering

Object Detection

Freelancer Overview

Medical Data Annotation / Clinical NLP Labelling / Image & DICOM Annotation (Medical Doctor | Data Labelling Specialist). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include N, A, and Microsoft Excel. Education includes Bachelor of Medicine and Surgery, Delta State University (2025) and Secondary School Certificate (WASSCE), Federal Government College, Warri (2018). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Segmentation, Entity (NER), and Evaluation.

Labeling Experience

Clinical NLP Labelling (Data Labelling Specialist / Annotator)

Text

Produced clinical NLP labels for medical text artifacts to support healthcare analytics and model training. Applied entity recognition and guideline-aware labeling to discharge summaries, clinical notes, and diagnostic reports. Focused on precision and feedback-driven improvements to enhance training data quality. • Labeled clinical text for NLP tasks • Performed clinical entity recognition (NER) • Conducted guideline interpretation and QA • Participated in feedback-driven model improvement

2019 - Present

Medical Data Annotation / Clinical NLP Labelling / Image & DICOM Annotation (Medical Doctor | Data Labelling Specialist)

Segmentation

Provided medical image and DICOM annotation work aligned to clinical and biomedical labeling needs. Performed structured bounding/segmentation-style annotations suitable for downstream healthcare AI training. Worked with clinical domain context to support consistent labeling across cases. • Annotated medical images and DICOM data • Applied bounding and segmentation labeling concepts • Supported quality-oriented review with clinical context • Contributed to biomedical AI training data preparation

2019 - Present

Editorial & Content QA | CMDA DELSUTH (Editor-in-Chief)

Text

Reviewed and quality-checked medical and biomedical content to ensure adherence to accuracy and clarity guidelines. Managed contributor feedback workflows to maintain consistency of outputs. This function supported label-quality and guideline compliance processes relevant to annotation guideline QA. • Performed accuracy and clarity QA on written content • Enforced adherence to defined guidelines • Provided structured feedback to contributors for consistency • Supported lead-review style quality assurance practices

2024 - 2025

Leadership & Communication (Vice-President & PR Officer) | DUMSA

TextFunction Calling

Coordinated large-scale multi-stakeholder projects requiring consistent, guideline-aligned documentation. Produced structured written communications and reports emphasizing precision and standardization. These leadership and communication responsibilities support reliable annotation coordination and review processes. • Coordinated project work with multiple stakeholders • Produced structured reports requiring consistency • Delivered under deadline pressure • Supported alignment to defined messaging/standards

2022 - 2024

Data Entry Clerk | JobLagos NG

DocumentData Collection

Completed high-volume entry and maintenance of structured records using spreadsheet-based workflows. Ensured correctness and throughput when entering large volumes of database content. Developed operational discipline and attention to detail applicable to production annotation and QA pipelines. • Entered and maintained large volumes of structured data • Used spreadsheet tools to streamline data entry workflows • Maintained high accuracy and throughput under production conditions • Sustained focus on repetitive, high-volume data tasks

2022 - 2023

Education

Work History