Chukwudi A.

Key Skills

Software

Label Studio

Scale AI

Top Subject Matter

Large Language Models (LLMs)

AI Model Accuracy

Bias Identification

Top Data Types

Text

Image

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

Senior AI Trainer. Core strengths include Label Studio, Scale AI, and Hugging Face. Education includes Bachelor of Science, University of Abuja (2019). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Prompt + Response Writing (SFT), and Classification.

Labeling Experience

Senior AI Trainer

Label StudioTextRLHF

As a Senior AI Trainer, I curated and labeled large-scale textual datasets to improve supervised and reinforcement learning models. I developed annotation guidelines and managed a team of annotators, ensuring consistent high-quality data labeling. I performed evaluation of LLM outputs to identify and mitigate biases. • Labeled over 500,000 text data points for model training and RLHF. • Designed and implemented data annotation processes and guidelines. • Conducted evaluations of LLM results for relevance and compliance. • Used Label Studio and Scale AI for annotation and feedback workflows.

2023 - Present

AI Training Specialist

Label StudioTextPrompt + Response Writing (SFT)

As an AI Training Specialist, I built and optimized datasets for conversational AI chatbots and virtual assistants. My work included prompt engineering, quality assurance, and re-annotation to improve language model robustness. I collaborated with interdisciplinary teams to align training data with business goals. • Created and managed text prompt-response datasets for AI dialogue. • Performed quality checks and re-annotation to reduce errors and bias. • Developed prompt libraries and advanced testing scenarios. • Used Label Studio and Hugging Face tooling for annotation workflows.

2021 - 2022

Junior Data Analyst & AI Annotator

Label StudioImageClassification

In my role as Junior Data Analyst & AI Annotator, I participated in data cleaning, organization, and annotation for machine learning projects. I contributed to data labeling for both computer vision and natural language processing model development. I supported validation procedures, improving system performance and dataset quality. • Labeled and classified image data for computer vision models. • Assisted with text annotation tasks for NLP projects. • Helped organize unstructured datasets for ML applications. • Used Label Studio and internal tools for annotation.

2020 - 2021

Education

Work History