Key Skills

Software

Label Studio

Scale AI

Appen

Remotasks

Top Subject Matter

Mathematics Domain Expertise

Artificial Intelligence

Technical Reasoning

Top Data Types

Text

Audio

Document

Top Task Types

No task types listed

Freelancer Overview

AI Content Reviewer and Data Annotator. Core strengths include Label Studio, Scale AI, and Appen. Education includes Bachelor of Science, University of Arizona (2026). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Content Reviewer and Data Annotator

Label StudioText

Reviewed and annotated thousands of text, audio, and multimodal samples for AI model development. Evaluated AI-generated mathematical and technical responses for logical coherence, proof validity, and factual correctness. Identified hallucinations, flawed derivations, and unjustified assumptions during review. • Maintained an annotation accuracy of 95–98% on complex projects • Applied structured prompt testing to LLMs for improved reasoning • Ensured rigorous compliance with safety and annotation standards • Delivered high-volume, deadline-driven evaluations with analytic precision.

Reviewed and annotated thousands of text, audio, and multimodal samples for AI model development. Evaluated AI-generated mathematical and technical responses for logical coherence, proof validity, and factual correctness. Identified hallucinations, flawed derivations, and unjustified assumptions during review. • Maintained an annotation accuracy of 95–98% on complex projects • Applied structured prompt testing to LLMs for improved reasoning • Ensured rigorous compliance with safety and annotation standards • Delivered high-volume, deadline-driven evaluations with analytic precision.

2023 - Present

QA Reviewer (Audio and Speech Data)

AppenAudio

Assessed speech data for clarity, consistency, and annotation accuracy in AI training datasets. Conducted quality audits on a diverse set of speech recordings to ensure reliability. Provided structured feedback to enhance dataset integrity and standard compliance. • Focused on audio annotation in compliance with established guidelines • Performed systematic evaluation of transcriptions and recording quality • Collaborated remotely on quality assurance workflows • Supported improvement of dataset reliability for AI speech models.

Assessed speech data for clarity, consistency, and annotation accuracy in AI training datasets. Conducted quality audits on a diverse set of speech recordings to ensure reliability. Provided structured feedback to enhance dataset integrity and standard compliance. • Focused on audio annotation in compliance with established guidelines • Performed systematic evaluation of transcriptions and recording quality • Collaborated remotely on quality assurance workflows • Supported improvement of dataset reliability for AI speech models.

2023 - 2024

Education

Work History