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Abiola Adeosun

Abiola Adeosun

AI Trainer & Data Annotation Specialist

United Kingdom flagLondon, United Kingdom
$15.00/hrEntry LevelMindriftRemotasks

Key Skills

Software

MindriftMindrift
RemotasksRemotasks

Top Subject Matter

Biomedical Domain Expertise
Scientific Domain Expertise
Health Data

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHFRLHF
SegmentationSegmentation
ClassificationClassification
Point/Key PointPoint/Key Point
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
Fine-tuningFine-tuning
Text SummarizationText Summarization
Text GenerationText Generation

Freelancer Overview

AI Trainer & Data Annotation Specialist. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, University of West London (2024) and Doctor of Philosophy, Federal University of Agriculture, Abeokuta (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Entry LevelEnglishYoruba

Labeling Experience

RLHF Evaluator – Biomedical & Health AI

TextRLHF
I contributed to reinforcement learning from human feedback (RLHF) processes by evaluating and improving AI-generated responses in medical and health science contexts. This role required critical assessment of AI system outputs, application of ethical review standards, and provision of actionable, structured feedback. My efforts directly supported safer and more reliable health-domain AI applications. • Conducted accuracy and bias assessments of AI-generated health responses. • Evaluated alignment of AI content with scientific evidence and ethical norms. • Generated high-quality structured feedback to inform model fine-tuning. • Collaborated with AI research teams to refine annotation guidelines and review protocols.

I contributed to reinforcement learning from human feedback (RLHF) processes by evaluating and improving AI-generated responses in medical and health science contexts. This role required critical assessment of AI system outputs, application of ethical review standards, and provision of actionable, structured feedback. My efforts directly supported safer and more reliable health-domain AI applications. • Conducted accuracy and bias assessments of AI-generated health responses. • Evaluated alignment of AI content with scientific evidence and ethical norms. • Generated high-quality structured feedback to inform model fine-tuning. • Collaborated with AI research teams to refine annotation guidelines and review protocols.

2024 - Present

AI Trainer & Data Annotation Specialist

Text
As an AI Trainer and Data Annotation Specialist, I have provided structured annotation and evaluation of scientific and biomedical datasets. My work involves using clear guidelines to review, label, and rate medical and scientific text data for accuracy, consistency, and bias. I utilize best practices for data privacy and ensure outputs meet OpenTrain AI requirements. • Performed text data annotation and evaluation on health and biomedical content. • Provided structured feedback on LLM (Large Language Model) responses and scientific document quality. • Applied reinforcement learning from human feedback (RLHF) for AI model improvement. • Ensured adherence to detailed annotation and fact-checking protocols.

As an AI Trainer and Data Annotation Specialist, I have provided structured annotation and evaluation of scientific and biomedical datasets. My work involves using clear guidelines to review, label, and rate medical and scientific text data for accuracy, consistency, and bias. I utilize best practices for data privacy and ensure outputs meet OpenTrain AI requirements. • Performed text data annotation and evaluation on health and biomedical content. • Provided structured feedback on LLM (Large Language Model) responses and scientific document quality. • Applied reinforcement learning from human feedback (RLHF) for AI model improvement. • Ensured adherence to detailed annotation and fact-checking protocols.

2024 - Present

Education

F

Federal University of Agriculture, Abeokuta

Doctor of Philosophy, Biochemistry

Doctor of Philosophy
2012 - 2024
U

University of Ibadan

Master of Science, Pharmacology (Cardiovascular)

Master of Science
2010 - 2012

Work History

U

University of West London

PhD Researcher – Global Health

London
2024 - Present
L

Lead City University

Lecturer & Research Scientist – Biochemistry & Pharmacology

Ibadan
2012 - 2024