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Fatima Odu

AI Data Annotator | Data Labeler

Nigeria flagcalabar, Nigeria
$10.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Healthcare Data & Medical Documentation
Medical Domain Expertise
Genetics Domain Expertise

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

AI Data Annotator | Data Labeler. Core strengths include Other. Education includes Bachelor of Science, University of Calabar and Registered Nurse, College of Nursing Sciences, UCTH. AI-training focus includes data types such as Text and labeling workflows including Classification.

Entry LevelEnglish

Labeling Experience

AI Data Annotator | Data Labeler

OtherTextClassification
As an AI Data Annotator and Data Labeler, I worked on annotating medical, biological, and clinical text data for AI and NLP projects. My responsibilities included following structured guidelines, ensuring accuracy, and maintaining consistent quality across all labeling outputs. I leveraged my background in Genetics, Biotechnology, and clinical healthcare to provide domain-specific expertise and high-quality labeled data for healthcare AI applications. • Consistently applied annotation guidelines across text, clinical, and biological data • Conducted entity recognition, classification, and evaluation of AI responses to biomedical prompts • Participated in RLHF and AI response evaluation, focusing on accuracy and relevance • Leveraged native English fluency for NLP annotation and quality checking

As an AI Data Annotator and Data Labeler, I worked on annotating medical, biological, and clinical text data for AI and NLP projects. My responsibilities included following structured guidelines, ensuring accuracy, and maintaining consistent quality across all labeling outputs. I leveraged my background in Genetics, Biotechnology, and clinical healthcare to provide domain-specific expertise and high-quality labeled data for healthcare AI applications. • Consistently applied annotation guidelines across text, clinical, and biological data • Conducted entity recognition, classification, and evaluation of AI responses to biomedical prompts • Participated in RLHF and AI response evaluation, focusing on accuracy and relevance • Leveraged native English fluency for NLP annotation and quality checking

Present

Education

C

College of Nursing Sciences, UCTH

Registered Nurse, Nursing

Registered Nurse
Not specified
U

University of Calabar

Bachelor of Science, Genetics and Biotechnology

Bachelor of Science
Not specified

Work History

F

faith foundation specialist hospital

volunteer registered nurse

calabar
2026 - Present