Chukwuemeka Okolie

Key Skills

Software

Toloka

Mindrift

Top Subject Matter

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Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

I am an experienced data labeling specialist with a strong background in annotating and categorizing large datasets to improve AI and machine learning models. My hands-on experience includes labeling text, images, and structured data for projects in NLP and data analytics, ensuring high accuracy and consistency by following detailed project guidelines and quality standards. I have practiced classifying data for intent, sentiment, and PII, reviewed and improved labeling guidelines, and collaborated closely with quality assurance teams. Proficient in tools such as Power BI, Python, and Tableau, I bring strong analytical skills, attention to detail, and a commitment to delivering high-quality, bias-free labeled data within deadlines. My ability to communicate effectively, solve problems, and quickly adapt to new domains makes me a valuable contributor to any AI data operations or machine learning support team.

Labeling Experience

Data Labeling Specialist

MindriftTextClassification

As a Data Labeling Specialist at Atlas Capture & Minddrift, I was responsible for annotating and categorizing large datasets to advance AI and machine learning models. The role required high accuracy in labeling text, images, and structured data while ensuring project guideline compliance. I maintained precision by reviewing flagged data and achieved productivity goals through diligent collaboration. • Annotated and categorized text, images, and structured data for machine learning. • Reviewed and quality-checked flagged data to ensure consistency. • Adhered to quality standards and detailed project requirements. • Collaborated with QA teams to enhance annotation accuracy and bias mitigation.

As a Data Labeling Specialist at Atlas Capture & Minddrift, I was responsible for annotating and categorizing large datasets to advance AI and machine learning models. The role required high accuracy in labeling text, images, and structured data while ensuring project guideline compliance. I maintained precision by reviewing flagged data and achieved productivity goals through diligent collaboration. • Annotated and categorized text, images, and structured data for machine learning. • Reviewed and quality-checked flagged data to ensure consistency. • Adhered to quality standards and detailed project requirements. • Collaborated with QA teams to enhance annotation accuracy and bias mitigation.

2025

Data Labeling Analyst (Job Simulation)

TolokaTextClassification

I completed a comprehensive data labeling job simulation as a Data Labeling Analyst at Forage Academy, targeted at AI model improvement. My main tasks included classifying customer support messages for intent, sentiment, and PII, utilizing a consistent labeling schema. I evaluated edge cases and provided rationale for my labeling decisions, strengthening my skills in data quality and privacy compliance. • Practiced intent, sentiment, and PII classification on actual customer support messages. • Reviewed and improved labeling work done by others, offering guideline enhancements. • Applied consistent definitions and ethical privacy practices to maintain label accuracy. • Gained foundational experience in human-AI collaboration relevant to AI ops and trust & safety.

I completed a comprehensive data labeling job simulation as a Data Labeling Analyst at Forage Academy, targeted at AI model improvement. My main tasks included classifying customer support messages for intent, sentiment, and PII, utilizing a consistent labeling schema. I evaluated edge cases and provided rationale for my labeling decisions, strengthening my skills in data quality and privacy compliance. • Practiced intent, sentiment, and PII classification on actual customer support messages. • Reviewed and improved labeling work done by others, offering guideline enhancements. • Applied consistent definitions and ethical privacy practices to maintain label accuracy. • Gained foundational experience in human-AI collaboration relevant to AI ops and trust & safety.

2025

Education

Work History