Chidubem O.

Key Skills

Software

Don't disclose

Other

AWS SageMaker

Top Subject Matter

AI content evaluation

UX/UI quality judgment

QA scoring

Top Data Types

Text

Document

Image

Top Task Types

Classification

Freelancer Overview

AI Content Evaluator & QA Specialist | PLATNOVA SOLUTIONS. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, University of Lagos (2025) and Certificate, Google (2022). AI-training focus includes data types such as Text, Document, and Computer Code and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Customer Content Evaluator & Support Analyst | PLATNOVA SOLUTIONS

OtherTextClassification

Assessed and triaged high volumes of customer-generated interactions by applying editorial judgment, observational QA, and structured evaluation guidelines. Categorised and routed cases by type, severity, and resolution path while maintaining consistent quality documentation for senior stakeholders. Managed multi-channel escalation review workflows with disciplined review protocols to improve resolution speed. • Reviewed 100+ weekly customer interactions via Zoho LiveChat to evaluate quality, clarity, and UX. • Identified inconsistencies and improvement opportunities; reduced misrouted content by 35%. • Triage/categorised 30+ cases per week by type, severity, and resolution path using scoring criteria. • Managed escalation workflows across 4 platforms (Live Chat, Tickets, Instagram, Twitter) and improved complaint resolution rate by 40%.

2025 - Present

AI Content Evaluator & QA Specialist | PLATNOVA SOLUTIONS

Don't discloseText

Evaluated AI and customer-facing front-end outputs using structured content quality and QA frameworks to identify inconsistencies, usability weaknesses, and quality metric gaps. Produced weekly executive evaluation reports with consistent accuracy and refined scoring criteria for ambiguous requirements translated into actionable guidelines. Maintained compliance-quality standards through cross-functional workflow improvements across content interactions. • Reviewed UI flows, system responses, and data outputs; flagged 30+ critical inconsistencies and usability issues. • Delivered 100% accurate, consistent reporting cycles with improvement opportunities and quality metrics. • Defined/refined scoring criteria and quality standards adopted across the team. • Collaborated with Product, QA, and Compliance to enhance evaluation workflows and uphold a 100% compliance record over 8+ months.

2025 - Present

UX/UI Content Evaluator & Android Developer | Freelance — Sabi Cash NG

Other

Conducted UX/UI evaluations of application screens and interaction flows, identifying visual inconsistencies and usability gaps through structured judgment. Reviewed authentication and login components for pixel-perfect alignment with design specifications and brand standards. Learned and executed evaluation workflows and tools in a fully remote, self-managed context to deliver consistent UX evaluation outputs. • Evaluated UI/UX designs and interaction flows; improved user conversion by 20% within three weeks. • Audited authentication/login experience components for accuracy and spec compliance. • Produced structured written feedback to guide product improvements. • Adapted quickly to new evaluation workflows and tools (Firebase, Android Studio, Figma).

2023 - Present

Data Quality Analyst & Content Evaluator | COCA-COLA HBC

Don't discloseDocument

Reviewed and evaluated marketing content, creator performance data, and campaign outputs using structured editorial judgment and critical thinking. Performed data inconsistency detection and produced actionable insight reports to support cross-departmental decisions. Applied content categorisation and annotation-style workflows to organise marketing data by segment, channel, and performance metrics. • Evaluated 2,000+ brand partners’ marketing content and campaign outputs for quality, accuracy, and strategic alignment. • Improved decision-making accuracy by 20% by flagging inconsistencies across customer and competitor datasets. • Used content categorisation and tagging/annotation techniques for segment, channel, and metric organisation. • Built a structured-criteria machine learning predictive model and reduced energy costs by 15%.

2023 - 2023

Education

Work History