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D

Daniel Dibal

AI Specialist & Data Annotator

NIGERIA flag
Maiduguri, Nigeria
$18.00/hrEntry LevelOtherLabel Studio

Key Skills

Software

Other
Label StudioLabel Studio

Top Subject Matter

Agricultural and Biological Sciences
Clinical and Medical Data
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument
AudioAudio

Top Task Types

Classification
Text Generation
Question Answering
Data Collection
Transcription
Fine Tuning
Evaluation Rating
RLHF
Text Summarization
Object Detection
Prompt Response Writing SFT

Freelancer Overview

Detail-oriented AI data professional with a background in Computer Engineering and active experience managing clinical and scientific datasets. Currently working as an AI Specialist at an agricultural biotech research consortium, where I annotate and verify domain-specific biological data for AI model training pipelines. Simultaneously managing sensitive clinical trial records at a university teaching hospital, applying strict data verification and quality control protocols directly transferable to AI annotation workflows. Comfortable working independently on remote, asynchronous tasks and following structured guidelines to deliver consistent, accurate outputs.

Entry LevelEnglishHausa

Labeling Experience

Clinical Data Administrator

OtherClassification
In the role of Clinical Data Administrator at Univ. of Maiduguri Teaching Hospital, I managed and quality-checked clinical trial records. My work involved direct application of compliance standards necessary for accurate AI annotation. Maintained near-perfect accuracy across high-volume sensitive datasets. • Verified clinical records for AI or healthcare dataset applications. • Applied HIPAA/NDPR standards, mirroring safety annotation protocols. • Ensured accurate, compliant handling of confidential medical data. • Used REDCap database for quality checking and management.

In the role of Clinical Data Administrator at Univ. of Maiduguri Teaching Hospital, I managed and quality-checked clinical trial records. My work involved direct application of compliance standards necessary for accurate AI annotation. Maintained near-perfect accuracy across high-volume sensitive datasets. • Verified clinical records for AI or healthcare dataset applications. • Applied HIPAA/NDPR standards, mirroring safety annotation protocols. • Ensured accurate, compliant handling of confidential medical data. • Used REDCap database for quality checking and management.

2025 - Present

AI Specialist & Data Annotator

OtherTextClassification
As an AI Specialist and Data Annotator at Agri-Biotech Research Consortium, I annotated and verified agricultural and biological datasets for AI training. I acted as the subject matter expert translating complex data into structured training labels. Consistently produced high-accuracy outputs according to defined annotation rubrics. • Annotated domain-specific scientific and agricultural text datasets. • Delivered structured, high-quality labels for machine learning pipelines. • Followed strict annotation guidelines and rubrics for quality. • Collaborated with research teams to ensure data integrity and domain relevance.

As an AI Specialist and Data Annotator at Agri-Biotech Research Consortium, I annotated and verified agricultural and biological datasets for AI training. I acted as the subject matter expert translating complex data into structured training labels. Consistently produced high-accuracy outputs according to defined annotation rubrics. • Annotated domain-specific scientific and agricultural text datasets. • Delivered structured, high-quality labels for machine learning pipelines. • Followed strict annotation guidelines and rubrics for quality. • Collaborated with research teams to ensure data integrity and domain relevance.

2025 - Present

Education

U

University of Toronto

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering
2020 - 2024

Work History

B

Borno State ICT Agency

Technical Consultant

Maiduguri
2024 - 2025