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I

Isaac Morgan

Freelance AI Data Specialist & Quality Analyst

ExpertOther

Key Skills

Software

Other

Top Subject Matter

Audio Quality Assessment & Speech Data Annotation
Text Content Creation and Annotation
Chatbot and Conversational AI Data

Top Data Types

AudioAudio
TextText

Top Task Types

Transcription
Text Generation
Prompt Response Writing SFT
Emotion Recognition

Freelancer Overview

Freelance AI Data Specialist & Quality Analyst. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Arts, University of Texas at Austin (2019) and Bachelor of Arts, Texas A&M University (2019). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription, Text Generation, and Prompt + Response Writing (SFT).

Expert

Labeling Experience

Freelance AI Data Specialist & Quality Analyst

AudioTranscription
As a Freelance AI Data Specialist & Quality Analyst, I developed and applied quality guidelines for audio and speech data annotation projects. I performed tasks including transcription review, timestamp validation, metadata verification, and large-scale quality assessment for machine learning applications. I systematically identified inconsistencies and provided actionable feedback for dataset improvement. • Quality assurance and annotation of audio/speech datasets • Application of standardized review rubrics and SOPs • Feedback and documentation of edge cases • Collaborative work with QA teams and ML engineers

As a Freelance AI Data Specialist & Quality Analyst, I developed and applied quality guidelines for audio and speech data annotation projects. I performed tasks including transcription review, timestamp validation, metadata verification, and large-scale quality assessment for machine learning applications. I systematically identified inconsistencies and provided actionable feedback for dataset improvement. • Quality assurance and annotation of audio/speech datasets • Application of standardized review rubrics and SOPs • Feedback and documentation of edge cases • Collaborative work with QA teams and ML engineers

2020 - Present

Interactive Dialogue & Speech Pattern Analysis

OtherAudioEmotion Recognition
For the Interactive Dialogue & Speech Pattern Analysis project, I generated serialized narrative audio content capturing diverse human speech variations. I designed and annotated samples to reflect emotional tones, natural disfluencies, and realistic conversational flow for training speech-focused AI models. I ensured authenticity and coverage across a range of speaker characteristics and emotions. • Analysis and annotation of conversational speech patterns • Emotion and tone labeling for dialogue samples • Incorporation of natural speech variations and intonation • Preparation of audio data for AI model evaluation

For the Interactive Dialogue & Speech Pattern Analysis project, I generated serialized narrative audio content capturing diverse human speech variations. I designed and annotated samples to reflect emotional tones, natural disfluencies, and realistic conversational flow for training speech-focused AI models. I ensured authenticity and coverage across a range of speaker characteristics and emotions. • Analysis and annotation of conversational speech patterns • Emotion and tone labeling for dialogue samples • Incorporation of natural speech variations and intonation • Preparation of audio data for AI model evaluation

2023 - 2023

Quality Standards & Evaluation Framework Development

OtherText
During Quality Standards & Evaluation Framework Development, I refined and standardized evaluation rubrics for multiple text-based AI projects. I performed rubric-based quality assessments to improve model outputs and data consistency. This work contributed to the development of scalable, effective evaluation methodologies for AI model training. • Criteria development for annotation and evaluation tasks • Rubric-driven quality checks on annotated datasets • Systematic review of text data to support AI performance • Documentation of results to inform standards improvement

During Quality Standards & Evaluation Framework Development, I refined and standardized evaluation rubrics for multiple text-based AI projects. I performed rubric-based quality assessments to improve model outputs and data consistency. This work contributed to the development of scalable, effective evaluation methodologies for AI model training. • Criteria development for annotation and evaluation tasks • Rubric-driven quality checks on annotated datasets • Systematic review of text data to support AI performance • Documentation of results to inform standards improvement

2022 - 2022

AI Dataset Development for Customer Service Models

OtherTextPrompt Response Writing SFT
For the Customer Service Models AI Dataset Development project, I designed and fact-checked over 500 written responses for chatbot training. I performed systematic annotation, quality assurance, and validation to ensure the accuracy and reliability of textual training data. I supported the delivery of consistent, high-quality input for model fine-tuning and evaluation. • Prompt and response writing for customer service chatbot datasets • Fact-checking and validation for AI dialogue accuracy • Quality review and error correction • Dataset preparation tailored for conversational AI training

For the Customer Service Models AI Dataset Development project, I designed and fact-checked over 500 written responses for chatbot training. I performed systematic annotation, quality assurance, and validation to ensure the accuracy and reliability of textual training data. I supported the delivery of consistent, high-quality input for model fine-tuning and evaluation. • Prompt and response writing for customer service chatbot datasets • Fact-checking and validation for AI dialogue accuracy • Quality review and error correction • Dataset preparation tailored for conversational AI training

2019 - 2019

Content & Data Quality Specialist

OtherTextText Generation
As a Content & Data Quality Specialist, I produced high-quality, specification-compliant written content for AI training datasets. I implemented feedback from editors and AI trainers to improve overall data performance for machine learning projects. I ensured consistency and thorough documentation across large-scale text annotation projects. • Creation and quality review of textual AI training content • Adherence to dataset requirements and consistency validation • Application of structured data formats such as CSV and JSON • Ongoing documentation to support usability and traceability

As a Content & Data Quality Specialist, I produced high-quality, specification-compliant written content for AI training datasets. I implemented feedback from editors and AI trainers to improve overall data performance for machine learning projects. I ensured consistency and thorough documentation across large-scale text annotation projects. • Creation and quality review of textual AI training content • Adherence to dataset requirements and consistency validation • Application of structured data formats such as CSV and JSON • Ongoing documentation to support usability and traceability

2018 - 2019

Education

T

Texas A&M University

Bachelor of Arts, English

Bachelor of Arts
2015 - 2019
U

University of Texas at Austin

Master of Arts, English Literature

Master of Arts
2019

Work History

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