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Morgan Nuckols

Morgan Nuckols

AI Content Reviewer – Data Annotation & AI Output Rater

USA flagRemote, Usa
$30.00/hrExpertAppenRemotasksOther

Key Skills

Software

AppenAppen
RemotasksRemotasks
Other

Top Subject Matter

Computer Vision and Natural Language Processing
Annotation Guidelines and Process Workflows
Process Documentation and Annotation Quality Assurance

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Bounding BoxBounding Box
RLHFRLHF
ClassificationClassification

Freelancer Overview

AI Content Reviewer – Data Annotation & AI Output Rater. Brings 22+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Amazon Mechanical Turk, Internal, and Proprietary Tooling. Education includes Master of Science, Mercer University (2003) and Bachelor of Arts, Mercer University (2001). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, RLHF, and Classification.

ExpertEnglish

Labeling Experience

Service Consultant — AI Process & Training

TextRLHF
As a Service Consultant — AI Process & Training at Unum US, I served as a liaison designing workflows analogous to annotation guideline development for AI training. I created structured manuals and training materials for consistent process execution in labeling tasks. These materials improved communication and performance among AI task teams. • Authored process documentation and service manuals for onboarding and upskilling agents. • Translated complex customer interactions into actionable labeling and annotation guidelines. • Communicated policy updates and detailed labeling instructions to distributed annotation teams. • Identified workflow optimization opportunities applicable to edge-case data labeling and curation.

As a Service Consultant — AI Process & Training at Unum US, I served as a liaison designing workflows analogous to annotation guideline development for AI training. I created structured manuals and training materials for consistent process execution in labeling tasks. These materials improved communication and performance among AI task teams. • Authored process documentation and service manuals for onboarding and upskilling agents. • Translated complex customer interactions into actionable labeling and annotation guidelines. • Communicated policy updates and detailed labeling instructions to distributed annotation teams. • Identified workflow optimization opportunities applicable to edge-case data labeling and curation.

2024 - Present

AI Content Reviewer – Data Annotation & AI Output Rater

ImageBounding Box
As an AI Content Reviewer at Amazon Mechanical Turk, I performed data annotation tasks including tagging and classifying images, videos, and text. I drew bounding boxes around objects in images and identified entities in satellite imagery. I also assessed and rated AI-generated outputs across multiple data types. • Reviewed user-generated image, video, text, and audio content for training machine learning models. • Drew bounding boxes to identify and categorize visual content while following strict guidelines. • Conducted text analysis for named entity recognition, sentiment, and transcription tasks. • Participated in survey-based scenario question labeling and data validation projects.

As an AI Content Reviewer at Amazon Mechanical Turk, I performed data annotation tasks including tagging and classifying images, videos, and text. I drew bounding boxes around objects in images and identified entities in satellite imagery. I also assessed and rated AI-generated outputs across multiple data types. • Reviewed user-generated image, video, text, and audio content for training machine learning models. • Drew bounding boxes to identify and categorize visual content while following strict guidelines. • Conducted text analysis for named entity recognition, sentiment, and transcription tasks. • Participated in survey-based scenario question labeling and data validation projects.

2024 - Present

Senior Customer Benefit Advisor – Annotation Guidelines & QA

TextClassification
As Senior Customer Benefit Advisor (VB EL/ML & VB PTS) at Unum US, I authored department handbooks and maintained process documentation supporting AI training tasks. I mentored agents through data-driven performance reviews and contributed visual training aids directly relevant to annotation calibration. My work included analyzing call center reports for quality assurance similar to AI output auditing. • Created guideline documents mirroring annotation project requirements. • Designed and delivered annotation calibration sessions and quality reviews. • Identified data trends and workflow issues with implications for training dataset integrity. • Developed cross-functional skills reflecting the demands of fast-paced AI training environments.

As Senior Customer Benefit Advisor (VB EL/ML & VB PTS) at Unum US, I authored department handbooks and maintained process documentation supporting AI training tasks. I mentored agents through data-driven performance reviews and contributed visual training aids directly relevant to annotation calibration. My work included analyzing call center reports for quality assurance similar to AI output auditing. • Created guideline documents mirroring annotation project requirements. • Designed and delivered annotation calibration sessions and quality reviews. • Identified data trends and workflow issues with implications for training dataset integrity. • Developed cross-functional skills reflecting the demands of fast-paced AI training environments.

2021 - 2024

Education

M

Mercer University

Master of Science, Business Analytics

Master of Science
2001 - 2003
M

Mercer University

Bachelor of Arts, General Studies

Bachelor of Arts
1999 - 2001

Work History

E

Events by JES

Event Coordinator Assistant

Remote
2015 - Present
U

Unum US

Senior Customer Benefit Advisor

Remote
2021 - 2024