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Tolulope Y.

Tolulope Y.

Senior Product Designer (AI Tools & Research) — Co-creation Hub (CcHUB) — AI training evaluation & human-feedback datase

Nigeria flagLagos, Nigeria

Key Skills

Software

Other

Top Subject Matter

Edtech educational content quality
RLHF preference ranking
usability and accessibility evaluation

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHFRLHF

Freelancer Overview

Senior Product Designer (AI Tools & Research) — Co-creation Hub (CcHUB) — AI training evaluation & human-feedback datase. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Arts, Tai Solarin University of Education (2010) and Certificate, Scrimba (2026). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Senior Product Designer (AI Tools & Research) — Co-creation Hub (CcHUB) — AI training evaluation & human-feedback dataset preparation

TextTextRLHFRLHF

Led AI-powered educational tool evaluation using human feedback loops to improve response quality and learning outcomes for a large learner population. Produced structured usability datasets aligned with AI preference-ranking and annotation workflows, supporting RLHF-style iteration. Ensured accessibility-compliant content guidelines for child-centred products to improve inclusive output quality assessment. • RLHF-aligned preference ranking and pairwise response comparison workflows • LLM output quality evaluation signals (accuracy, helpfulness, safety, tone, coherence) • User-research driven annotation dataset creation from 1,200+ monthly sessions • WCAG and content guideline enforcement for evaluation labeling quality

2024 - Present

Product Designer — INITS Limited — structured evaluation and annotated documentation for AI-adjacent quality assessment

OtherTextText

Performed rigorous heuristic UX evaluation and structured auditing that parallels criteria-based LLM output assessment. Produced comprehensive design documentation and style guides that function as labeled evaluation references for quality and consistency. Applied systematic assessments to optimize information architecture and reduce user task completion time. • Criteria-based usability and heuristic evaluation used as structured quality signals • Information architecture optimization to support consistent evaluation labeling taxonomies • Comprehensive written annotations in design documentation and style guides • Task-completion performance evaluation serving as rating/quality feedback inputs

2024 - 2024

Product Designer — Africa Prudential Plc — structured evaluation/annotation for AI-adjacent data quality

OtherTextText

Conducted competitive analysis and usability research to generate structured insights for judging output quality and accuracy. Built systematic design systems with component libraries and interaction patterns that support consistent evaluation and taxonomy thinking for annotation. Evaluated AI-adjacent data outputs and cross-platform compatibility across a large user base. • Usability and competitive analysis generating labeled quality judgments • Cross-platform consistency evaluation of AI-adjacent outputs • Structured component libraries supporting annotation taxonomy consistency • Research-driven quality assessment for mobile app experiences

2022 - 2024

Product Designer — Cognitio — evaluation-driven feedback/annotation for quality assessment

OtherTextText

Designed and evaluated a mobile app using iterative usability testing and research methodology to derive consistent quality signals. Collaborated with engineers to incorporate feedback and reduce performance issues, improving the reliability of observed quality outcomes. Captured product analytics and user feedback that can be translated into labeled evaluation criteria for AI-style assessment. • Usability testing and research-based quality evaluation signals • Capturing real-time product quality signals via feedback and analytics • Documented evaluation findings enabling structured annotation-style critique • Cross-functional iteration to align user-experience outcomes with quality criteria

2019 - 2022

Education

S

Scrimba

Certificate, Model Context Protocol

Certificate
2026 - 2026
I

IxDF

Certificate, Accessibility Design

Certificate
2023 - 2023

Work History

C

Co-creation Hub (CcHUB)

Senior Product Designer (AI Tools & Research)

Lagos
2024 - Present
I

Inits Limited

Product Designer

Lagos
2024 - 2024