Michael Ronald

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Question Answering

Freelancer Overview

I am an experienced AI Data Specialist with a strong background in data labeling, annotation, and quality assurance for machine learning projects. My expertise spans working with text, image, and structured datasets across various AI use cases, where I consistently ensure high accuracy and compliance with detailed project guidelines. I am skilled in using leading annotation platforms like Labelbox, Remotasks, Appen, and Scale AI, and I am comfortable with tools such as Microsoft Excel, Google Sheets, and basic SQL. I excel at identifying inconsistencies, maintaining data integrity, and collaborating with technical teams to improve AI model performance. With a keen eye for detail, a solid understanding of data privacy, and the ability to work independently in remote environments, I am dedicated to delivering high-quality training data that drives successful AI outcomes.

Labeling Experience

Data Annotation Specialist

AppenTextQuestion Answering

Labeled and structured 50,000+ text entries for question-and-answer AI systems, improving product search and customer support accuracy. Created high-quality question-answer pairs from product descriptions, FAQs, and customer inquiries, adhering to strict annotation guidelines. Conducted quality reviews and validation to achieve 95%+ accuracy, enhancing overall model performance. Collaborated with AI engineers and project managers to refine labeling processes, ensuring efficient dataset preparation for machine learning models. Maintained data privacy and compliance standards, supporting reliable and ethical AI training.

Labeled and structured 50,000+ text entries for question-and-answer AI systems, improving product search and customer support accuracy. Created high-quality question-answer pairs from product descriptions, FAQs, and customer inquiries, adhering to strict annotation guidelines. Conducted quality reviews and validation to achieve 95%+ accuracy, enhancing overall model performance. Collaborated with AI engineers and project managers to refine labeling processes, ensuring efficient dataset preparation for machine learning models. Maintained data privacy and compliance standards, supporting reliable and ethical AI training.

2024 - 2025

Education

Work History