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Michael Faleke

Michael Faleke

Product Designer | AI Data Evaluation & Conversational AI Specialist

Nigeria flagOsun, Nigeria
$10.00/hrIntermediateLabel StudioCVATDoccano

Key Skills

Software

Label StudioLabel Studio
CVATCVAT
DoccanoDoccano
Scale AIScale AI

Top Subject Matter

Technology - Artificial Intelligence & Software Systems
Human-AI Interaction - Conversational AI & Data Labeling
User Experience (UX) - Digital Product Design & Research

Top Data Types

ImageImage
TextText

Top Task Types

Evaluation/RatingEvaluation/Rating
Text GenerationText Generation
Question AnsweringQuestion Answering
Object DetectionObject Detection

Freelancer Overview

I have experience supporting AI training workflows through data labeling, annotation, and quality review across text and visual datasets. I’m comfortable working with detailed guidelines, making consistent judgment calls, and maintaining accuracy across large volumes of data. My approach is structured and detail-focused, with an emphasis on delivering reliable outputs that support model performance. With a background in UI/UX design, I bring a strong understanding of user behavior and real-world context into my work. I’m used to research-driven processes, handling complex tasks under deadlines, and maintaining high standards without compromising speed. I take data quality seriously and aim to contribute to building systems that are both accurate and dependable.

IntermediateEnglishFrenchSpanish

Labeling Experience

AI Data Evaluation for User Experience Insights

TextEvaluation Rating
Currently involved in evaluating AI-generated and user-facing content to ensure clarity, usability, and alignment with user expectations. Apply UX research principles to assess outputs based on relevance, tone, and overall user experience. Regularly review data for inconsistencies and edge cases, providing structured feedback to improve quality and reliability. This work supports the development of systems that better reflect real user needs and behavior.

Currently involved in evaluating AI-generated and user-facing content to ensure clarity, usability, and alignment with user expectations. Apply UX research principles to assess outputs based on relevance, tone, and overall user experience. Regularly review data for inconsistencies and edge cases, providing structured feedback to improve quality and reliability. This work supports the development of systems that better reflect real user needs and behavior.

2026 - Present

AI Prompt Writing & Response Generation

TextText Generation
Developed prompts and generated structured responses to support AI model training across a range of tasks. Focused on producing clear, context-aware outputs aligned with given instructions and use cases. Reviewed generated content to ensure relevance, coherence, and consistency, making adjustments where necessary to improve quality. Maintained attention to detail while working within defined guidelines and timelines, contributing to more reliable and effective model outputs.

Developed prompts and generated structured responses to support AI model training across a range of tasks. Focused on producing clear, context-aware outputs aligned with given instructions and use cases. Reviewed generated content to ensure relevance, coherence, and consistency, making adjustments where necessary to improve quality. Maintained attention to detail while working within defined guidelines and timelines, contributing to more reliable and effective model outputs.

2025 - 2025

AI Data Annotation for User Interaction Insights

TextEvaluation Rating
Worked on annotating and classifying user-generated content to support AI model training focused on user behavior and interaction patterns. Labeled datasets based on predefined guidelines, ensuring consistency and accuracy across tasks. Conducted quality checks to identify and correct inconsistencies, improving overall dataset reliability. Collaborated with structured workflows to meet deadlines while maintaining high annotation standards. Applied critical thinking to handle edge cases and ambiguous data, ensuring outputs aligned with project requirements. This project contributed to improving model understanding of user intent and interaction patterns.

Worked on annotating and classifying user-generated content to support AI model training focused on user behavior and interaction patterns. Labeled datasets based on predefined guidelines, ensuring consistency and accuracy across tasks. Conducted quality checks to identify and correct inconsistencies, improving overall dataset reliability. Collaborated with structured workflows to meet deadlines while maintaining high annotation standards. Applied critical thinking to handle edge cases and ambiguous data, ensuring outputs aligned with project requirements. This project contributed to improving model understanding of user intent and interaction patterns.

2024 - 2024

Education

O

Obafemi Awolowo University

Bachelor of Science, Sociology and Anthropology

Bachelor of Science
2022 - 2026

Work History

F

Freelancer

UI Designer

Osun
2025 - Present
J

Jamor Technology

UI/UX Designer Intern

N/A
2024 - 2024