For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
F
Favour Okunowo

Favour Okunowo

Medical Research Data Analyst — Data Annotation for Medical Survey Responses

Nigeria flagIbadan, Nigeria
Intermediate

Key Skills

Software

No software listed

Top Subject Matter

Medical (Malaria Vaccine Acceptance Studies)
Digital Marketing / User Behavior
AI Product (B2B Automation, LLM Evaluation)

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification
RLHFRLHF

Freelancer Overview

I am a detail-oriented data annotation specialist with a strong ability to accurately label, categorize, and evaluate structured and unstructured data for AI training purposes. I have experience working with text and content evaluation, pattern recognition, and data validation, ensuring consistency and adherence to strict guidelines. My background in digital marketing has strengthened my ability to analyze data, identify patterns, and maintain high-quality outputs across repetitive tasks. Additionally, I bring a solid foundation in medical sciences, which enhances my ability to understand complex terminology and work on specialized datasets, particularly in healthcare-related domains. I am highly disciplined, quick to learn new annotation tools, and committed to delivering accurate, reliable, and consistent results in fast-paced, detail-sensitive environments.

Intermediate

Labeling Experience

Founder & AI Product Lead — RLHF & LLM Data Evaluation

TextRLHF
As Founder & AI Product Lead, I led the evaluation of AI model outputs and designed prompt-based data for reinforcement learning via human feedback. I tested and validated LLM responses, mapped failure modes, and assessed annotation quality’s effect on AI performance. This experience included extensive hands-on review and feedback directly applicable to RLHF and LLM data workflows. • Designed, annotated, and rated LLM response datasets for automation products • Conducted prompt evaluation and managed guideline-driven RLHF workflows • Documented annotation edge cases and quality impacts for model optimization • Used LLM and chat interfaces for evaluation and feedback cycles

As Founder & AI Product Lead, I led the evaluation of AI model outputs and designed prompt-based data for reinforcement learning via human feedback. I tested and validated LLM responses, mapped failure modes, and assessed annotation quality’s effect on AI performance. This experience included extensive hands-on review and feedback directly applicable to RLHF and LLM data workflows. • Designed, annotated, and rated LLM response datasets for automation products • Conducted prompt evaluation and managed guideline-driven RLHF workflows • Documented annotation edge cases and quality impacts for model optimization • Used LLM and chat interfaces for evaluation and feedback cycles

2024 - Present

Medical Research Data Analyst — Data Annotation for Medical Survey Responses

TextClassification
As a Medical Research Data Analyst, I classified and labelled survey responses into structured formats relevant for AI training datasets. I maintained high standards of data integrity and consistency throughout the annotation process. My work demonstrated ability in guideline-following and accuracy-driven annotation akin to medical NLP workflows. • Categorized caregiver survey data using detailed annotation criteria • Applied structured tags in Python and Excel for dataset consistency • Ensured data validation and high-quality outputs aligning with AI dataset needs • Translated research methodology into annotation protocol adherence

As a Medical Research Data Analyst, I classified and labelled survey responses into structured formats relevant for AI training datasets. I maintained high standards of data integrity and consistency throughout the annotation process. My work demonstrated ability in guideline-following and accuracy-driven annotation akin to medical NLP workflows. • Categorized caregiver survey data using detailed annotation criteria • Applied structured tags in Python and Excel for dataset consistency • Ensured data validation and high-quality outputs aligning with AI dataset needs • Translated research methodology into annotation protocol adherence

2024 - 2025

Digital Marketing Data Specialist — Campaign Dataset Annotation

TextClassification
As a Digital Marketing Data Specialist, I annotated and categorized user actions within structured marketing datasets. I performed consistent pattern recognition and data quality reviews with adherence to defined guidelines. These skills closely matched processes used in content evaluation and dataset annotation for AI systems. • Labeled large-scale campaign data using logic criteria • Maintained high fidelity in annotated reports via Google Sheets and Excel • Evaluated performance data and applied systematic annotation standards • Translated digital content behavior into structured, usable training data

As a Digital Marketing Data Specialist, I annotated and categorized user actions within structured marketing datasets. I performed consistent pattern recognition and data quality reviews with adherence to defined guidelines. These skills closely matched processes used in content evaluation and dataset annotation for AI systems. • Labeled large-scale campaign data using logic criteria • Maintained high fidelity in annotated reports via Google Sheets and Excel • Evaluated performance data and applied systematic annotation standards • Translated digital content behavior into structured, usable training data

2023 - 2024

Education

C

College of Medicine, University of Ibadan

Bachelor of Medicine, Bachelor of Surgery, Medicine and Surgery

Bachelor of Medicine, Bachelor of Surgery
2020

Work History

C

Cloziq

Founder & Product Lead

Ibadan
2024 - Present
Z

Zibarr

Digital Marketing Specialist

Ibadan
2023 - 2024