Kirby Nephi De Paz

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Classification

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Translation Localization

Freelancer Overview

I am an experienced AI training annotator with a strong background in data labeling, annotation, and quality assessment across various media types. My work involves refining AI models by providing accurate annotations, correcting outputs, and enriching datasets for both speech recognition and natural language processing projects. I am adept at evaluating AI-generated results, delivering constructive feedback, and adapting quickly to different project requirements. With a solid foundation in information technology and digital literacy, I bring excellent attention to detail, strong communication skills, and a commitment to maintaining high data quality standards in every task I undertake.

Labeling Experience

AI Training Annotator (Part-Time/Freelance/remote)

Scale AIAudioAudio Recording

As an AI Training Annotator at Multimango, I performed data annotation and correction across various media types with a focus on audio datasets. My primary responsibility was to record and annotate audio to improve AI models for speech recognition and natural language processing. I provided regular evaluation and feedback on AI prompt results to enhance model performance. • Delivered detailed feedback on model outputs and provided sample completions. • Annotated and enriched audio datasets, adapting to specific project requirements. • Maintained consistent output with a workload of 20–25 hours per week. • Supported ongoing model refinement through structured annotations and prompt result evaluation.

As an AI Training Annotator at Multimango, I performed data annotation and correction across various media types with a focus on audio datasets. My primary responsibility was to record and annotate audio to improve AI models for speech recognition and natural language processing. I provided regular evaluation and feedback on AI prompt results to enhance model performance. • Delivered detailed feedback on model outputs and provided sample completions. • Annotated and enriched audio datasets, adapting to specific project requirements. • Maintained consistent output with a workload of 20–25 hours per week. • Supported ongoing model refinement through structured annotations and prompt result evaluation.

2025

Education

Work History