Moyinoluwa Abileko

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Top Label Types

Evaluation Rating

Freelancer Overview

I am a detail-oriented professional with hands-on experience in AI data annotation, data labeling, and software testing. My background includes annotating and labeling voice recordings to support AI model training, performing structured content evaluation, and following rigorous project guidelines to ensure data quality and consistency. I am skilled in manual testing, bug identification, and writing clear documentation, with strong attention to detail and accuracy. My training through uTest Academy has given me a solid foundation in quality assurance best practices, and I am adept at using tools like Microsoft Office and Google Workspace to support my work. I am committed to delivering high-quality, reliable results in every project I undertake.

Labeling Experience

Independent Freelance Software Testing & AI Support (Data Annotation/AI Training)

Label StudioAudioEvaluation Rating

Performed structured content evaluation and remote data-annotation for global projects, adhering strictly to project guidelines and standard operating procedures. Maintained dataset consistency by documenting ambiguous cases and providing clear, reproducible reports to project leads. Conducted quality assurance reviews on labeled batches and offered actionable feedback to annotators. • Executed data labeling with high accuracy under asynchronous remote workflows. • Managed labeling batches, tracking progress via shared documentation tools. • Ensured compliance with all safety and bias awareness standards in annotation. • Delivered reliable results with clear communication in report and feedback cycles.

Performed structured content evaluation and remote data-annotation for global projects, adhering strictly to project guidelines and standard operating procedures. Maintained dataset consistency by documenting ambiguous cases and providing clear, reproducible reports to project leads. Conducted quality assurance reviews on labeled batches and offered actionable feedback to annotators. • Executed data labeling with high accuracy under asynchronous remote workflows. • Managed labeling batches, tracking progress via shared documentation tools. • Ensured compliance with all safety and bias awareness standards in annotation. • Delivered reliable results with clear communication in report and feedback cycles.

2024

Education

Work History