Ashley Minton

Key Skills

Software

Appen

Labelbox

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Bounding Box

Emotion Recognition

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am an experienced AI trainer and data labeling specialist with approximately two to three years of cumulative experience supporting LLM evaluation, search quality assessment, and multimodal annotation projects. My work includes A/B testing of AI responses, reviewing outputs for helpfulness, clarity, organization, and safety compliance, and providing detailed written feedback to support model improvement. I have labeled and annotated large volumes of structured and unstructured data across text, search, and audio based tasks. I also bring strong expertise in search quality evaluation for web, maps, GPS, and app store results, ensuring accurate alignment between user intent and system output. In addition, I have evaluated audio prompts and responses for speech clarity, emotional understanding, background noise differentiation, and overall usability. My background in professional copywriting strengthens my ability to assess language quality, tone, and user focused communication, making me well suited for high precision AI training and evaluation projects.

Labeling Experience

Adversarial Multimodal Audio Evaluation and Stress Testing

LabelboxAudioQuestion AnsweringEmotion Recognition

Designed and delivered adversarial audio prompts based on specified instructions for emotion, speech patterns, and environmental noise to intentionally challenge AI model understanding. Conducted A/B testing of audio responses to evaluate emotion recognition, speech clarity, noise handling, and human-like response quality. Identified failure cases and weak points, providing structured annotations and detailed feedback to support model robustness, safety, and performance improvements.

Designed and delivered adversarial audio prompts based on specified instructions for emotion, speech patterns, and environmental noise to intentionally challenge AI model understanding. Conducted A/B testing of audio responses to evaluate emotion recognition, speech clarity, noise handling, and human-like response quality. Identified failure cases and weak points, providing structured annotations and detailed feedback to support model robustness, safety, and performance improvements.

2025 - 2025

Multimodal Audio Annotation Project

LabelboxAudioQuestion AnsweringEmotion Recognition

Created audio prompts based on specified instructions including emotion, speech rate, and background noise. Evaluated AI audio responses in an A/B format for correct interpretation of emotion, clarity, background noise handling, and human-like tone. Provided detailed annotations and feedback to support multimodal AI training and improve response accuracy, relevance, and emotional understanding.

Created audio prompts based on specified instructions including emotion, speech rate, and background noise. Evaluated AI audio responses in an A/B format for correct interpretation of emotion, clarity, background noise handling, and human-like tone. Provided detailed annotations and feedback to support multimodal AI training and improve response accuracy, relevance, and emotional understanding.

2025 - 2025

Video Labeling Project

AppenVideoClassificationQuestion Answering

Reviewed and labeled short-form social media videos, classifying content according to predefined categories and answering detailed questions about each video. Tasks included analyzing context, subject matter, and engagement features to ensure accurate annotations for AI training. Provided structured feedback to support model understanding of video content and improve automated classification performance.

Reviewed and labeled short-form social media videos, classifying content according to predefined categories and answering detailed questions about each video. Tasks included analyzing context, subject matter, and engagement features to ensure accurate annotations for AI training. Provided structured feedback to support model understanding of video content and improve automated classification performance.

2024 - 2024

Image Labeling Project

AppenImageQuestion AnsweringAction Recognition

Verified and labeled images to determine whether specified actions, subjects, or keywords were present. Evaluated each image for context and relevance, answering questions about content, location, and situational details. Provided structured annotations to support AI training, including mapping images to likely geographic locations when exact data was unavailable. Ensured alignment between user queries and image content to improve search relevance and model understanding.

Verified and labeled images to determine whether specified actions, subjects, or keywords were present. Evaluated each image for context and relevance, answering questions about content, location, and situational details. Provided structured annotations to support AI training, including mapping images to likely geographic locations when exact data was unavailable. Ensured alignment between user queries and image content to improve search relevance and model understanding.

2024 - 2024

Education

Work History