Damilola O.

Key Skills

Software

Micro1

Other

Scale AI

Top Subject Matter

Generative AI evaluation and UX/UI screenshot analysis for AI-native SaaS (healthcare, dental, hospitality, retail)

UX evaluation and usability data annotation (digital platforms, accessibility, usability testing)

Transit kiosk UX research data annotation and evidence-based evaluation (Toronto Transit Commission)

Top Data Types

Text

Image

Audio

Document

Top Task Types

RLHF

Audio Recording

Freelancer Overview

AI Solutions Consultant & Product Analyst (AraModal AI). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1, Dovetail, and Notion. Education includes Graduate Certificate, Sheridan College and Ontario Graduate Diploma, Humber College. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Solutions Consultant & Product Analyst (AraModal AI)

Micro1Text

Reviewed and annotated model responses for voice agent and chat intelligence systems using structured evaluation rubrics grounded in observable behavior. Conducted screenshot-level UI analysis to map workflows, identify UI inconsistencies, and document evidence for engineering teams. Calibrated knowledge base accuracy by flagging discrepancies between model outputs and what was visible in client-facing interfaces. • Evidence-based conversational flow and observable behavior annotation • Screenshot/UI workflow mapping and discrepancy identification • Rubric design for knowledge base accuracy and response evaluation • Multi-vertical concurrent review prioritization across 6+ industries

2026 - Present

Competitive Response Researcher & Model Evaluator (Google DeepMind)

TextRLHF

Performed structured response evaluation and competitive analysis for Google Gemini 3.0 by assessing accuracy, reasoning quality, and response coherence. Maintained a consistently high accuracy rating by distinguishing factually grounded responses from plausible but unsupported outputs. Delivered high-fidelity annotations in Google's proprietary evaluation pipeline to support reinforcement learning feedback loops shaping model behavior. • Structured comparison of Gemini outputs vs rival models • Accuracy-focused evaluation of reasoning and coherence • High-fidelity annotations for RLHF/evaluation pipelines • Quality monitoring and consistent rating across tasks

2026 - 2026

UX Researcher & Data Evaluation Specialist (Sheridan College)

Image

Conducted systematic screenshot analysis across digital touchpoints, documenting UI element inventories, interaction states, and accessibility compliance gaps. Designed structured annotation workflows for usability test recordings, coding observed behaviors against predefined rubrics while maintaining inter-rater consistency. Synthesized qualitative interview and interface review data into standardized evidence-based findings used for redesign and institutional adoption. • Heuristic evaluation of UI elements, states, and accessibility gaps • Behavioral coding on usability recordings using rubrics • Evidence vs inference discipline for consistent annotations • Large-scale annotation management in Dovetail/Notion pipelines

2025 - 2026

Voice & Audio AI Training Contributor (Aether / Outlier)

Scale AIAudioAudio Recording

Contributed to humanized voice training data for Scaled AI models through multilingual audio labeling. Provided labels, annotations, and voice recordings across multiple languages and accents to ensure natural prosodic output. Collaborated with technical staff to refine annotation tools and task structures for speech modulation, accent variation, and real-world noise robustness. • Multilingual audio labeling and voice recording contribution • Annotation for prosody (intonation, rhythm, accent variation) • Tool/task structure feedback to improve labeling workflow • Quality delivery meeting broadcast standards

2025 - 2025

Wit & Conversation Tutor

Text

Performed structured response analysis and creative evaluation tasks for xAI’s Grok to shape conversational behavior and personality calibration. Conducted sensitivity testing across edge cases by evaluating wit, sarcasm, and culturally nuanced prompts. Delivered structured annotations calibrating the boundary between creative personality and accuracy. • Edge-case response evaluation (wit/sarcasm/cultural nuance) • Sensitivity testing and out-of-the-box creative pattern annotation • Rubric-based labeling of personality vs accuracy boundaries • Structured evaluations supporting conversational calibration

2025 - 2025

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Education

Work History