Chinonso M.

Key Skills

Software

Appen

Scale AI

Top Subject Matter

Large Language Models

AI System Evaluation

Language Model Training and QA

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

AI Model Evaluation Specialist. Core strengths include Appen and Scale AI. Education includes Bachelor of Science, University of Nigeria Nsukka (2019) and General Certificate of Education, Benviator Secondary School (2013). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Model Evaluation Specialist

AppenText

As an AI Model Evaluation Specialist at Appen, I assessed and rated outputs from large language models to improve their performance. I utilized human-in-the-loop evaluation techniques to provide detailed feedback and refinement to model responses. I delivered structured insights and evaluation reports to support continuous model improvement. • Conducted output review for accuracy, relevance, and safety • Identified and documented inconsistencies, biases, and factual errors • Applied reinforcement learning from human feedback concepts • Collaborated with Appen's proprietary tools and workflows.

2025 - Present

AI Training & Quality Assurance Analyst

Scale AIText

In my role as an AI Training & Quality Assurance Analyst at Scale AI, I reviewed AI-generated responses for compliance with task guidelines. I conducted thorough quality assurance checks to enhance data reliability and overall dataset quality. I contributed to iterative improvement processes for AI model training and deployment. • Applied critical thinking to correct and enhance outputs • Identified model performance gaps and provided actionable feedback • Ensured alignment with expected outcomes and instructions • Utilized Scale AI workflow and internal software for review tasks.

2023 - 2025

Data Annotation Specialist (Multimodal)

Scale AITextClassification

As a Data Annotation Specialist (Multimodal) at Scale AI, I labeled and annotated text, image, and audio datasets for machine learning model training. I adhered to strict annotation guidelines to ensure consistency and quality throughout the datasets. I performed data validation and collaborated with cross-functional teams to adapt annotation protocols. • Labeled multiple data types including text, images, and audio • Maintained quality and accuracy through consistent application of guidelines • Conducted validation checks and error correction • Used Scale AI's internal annotation tools for multimodal dataset labeling.

2021 - 2023

Education

Work History