Chinaza O.

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Mercor

Micro1

Mighty AI

Mindrift

OneForma

Remotasks

Scale AI

Toloka

Telus

Top Subject Matter

E-commerce - Product categorization,customer query classification, and content organization.

Customer Support & Business Services

Artificial Intelligence & Natural Language Processing -

Top Data Types

Image

Video

Audio

Top Task Types

Classification

Question Answering

Data Collection

Evaluation/Rating

Object Detection

Text Generation

RLHF

Transcription

Prompt + Response Writing (SFT)

Freelancer Overview

I am detail oriented in Data Labeling as well as an AI Training contributor with less than one year of experience. I give my best supporting AI and machine learning projects. I have worked on tasks involving data annotation, content evaluation, data categorization, and quality review while following detailed project guidelines. My focus is on delivering accurate, consistent, and quality results that help improve AI model performance. In addition to my AI training experience, I have a background in IT support, data management, and administrative work, which has strengthened my analytical skills, attention to detail, and ability to work independently and also work with teams. I am comfortable learning new tools quickly, meeting deadlines, and maintaining accuracy standards across large datasets.

Labeling Experience

AI Content Evaluation and Quality Review

ImageEvaluation/Rating

Evaluated AI generated responses to assess their relevance, accuracy, clarity, and compliance with project guidelines. Reviewed outputs across a variety of prompts, identifying issues related to factual correctness, adhere to instructions, clarity, and content safety. Conducted quality assurance reviews to identify inconsistencies and labeling errors, ensuring that evaluation standards will be applied uniformly throughout this project. Strong analytical skills and attention to detail are essential in delivering dependable evaluation results that contributed to ongoing model development and performance improvement.

2026 - Present

Text Data Annotation and Classification for AI Training

TextClassification

Annotated and classified text datasets to support the training and optimization of natural language processing (NLP) models. Applied project given guidelines to categorize written content into predefined classes while maintaining consistency and accuracy across large volumes of data. Tasks involved reviewing text samples, identifying relevant categories based on established criteria, and documenting labeling decisions when required. Performed routine quality checks to ensure annotations aligned with project standards and contributed to the creation of reliable training datasets. Demonstrated strong attention to detail, the ability to interpret instructions, and the capacity to meet productivity targets while maintaining high annotation accuracy.

2026 - 2026

AI Data Annotation and Content Evaluation Specialist

TextClassification

Contributed to AI training initiatives by annotating, categorizing, and evaluating text data according to the project guidelines and standards. Which included reviewing written content for relevance, accuracy, clarity, and adherence to annotation criteria to support and improve machine learning models. Performed text classification and content evaluation tasks across diverse datasets, ensuring consistency and precision in labeling decisions. Conducted quality assurance reviews to identify discrepancies, correct annotation errors, and maintain high levels of accuracy throughout the project lifecycle. Successfully managed the provided data while meeting productivity targets and project deadlines. Applied critical thinking and strong attention to detail to interpret annotation instructions, and provide reliable outputs that contributed to the AI training datasets.

2025 - 2026

Education

Work History