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Kaylin D.

Kaylin D.

Data Annotator (Text annotation) — RWS

USA flagFlowery Branch, Usa

Key Skills

Software

Other

Top Subject Matter

NLP dataset creation and annotation
Audio labeling for ML training
Image dataset annotation for ML training

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
TranscriptionTranscription
ClassificationClassification

Freelancer Overview

Data Annotator (Text annotation) — RWS. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Mercer University (2024) and Bachelor of Science, Johnson C. Smith University (2020). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Entity (NER) Classification, Transcription, and Classification.

Labeling Experience

Data Annotator - RWS

ImageImageClassificationClassificationTranscriptionTranscription

Reviewed and labeled text, image, and audio datasets according to detailed project guidelines to support machine learning model training. Maintained high accuracy and consistency while meeting quality thresholds and supporting NLP and AI classification tasks. Collaborated with quality assurance teams to resolve ambiguous cases and maintain inter-annotator agreement. • Labeled and validated data for ML training • Classified entities, tagged sentiments, transcribed content, and validated annotations • Managed multiple annotation queues to meet deadlines • Provided feedback to improve guideline clarity and workflows

2025 - 2025

Data Annotator (Image annotation) — RWS

OtherImageImageClassificationClassification

Reviewed and labeled image data according to project-specific guidelines to support machine learning model training. Maintained accuracy and consistency across annotation tasks while supporting model development objectives. • Labeled image data per guidelines • Maintained annotation consistency • Met quality thresholds set by project leads • Coordinated with QA for edge/ambiguous cases

2025 - 2025

Data Annotator (Audio annotation) — RWS

OtherAudioAudioTranscriptionTranscription

Labeled audio inputs according to detailed project-specific guidelines to support machine learning model training. Maintained high accuracy and consistency across annotation tasks, meeting or exceeding quality thresholds set by project leads. • Transcribed/validated audio content • Ensured transcription accuracy and consistency • Collaborated on QA resolutions for ambiguous cases • Prioritized annotation queues to meet deadlines

2025 - 2025

Data Annotator (Text annotation) — RWS

OtherTextTextEntity (NER) ClassificationEntity (NER) Classification

Annotated text according to project-specific guidelines to support machine learning model training. Applied NLP and AI concepts to classify entities, tag sentiments, and validate existing annotations while maintaining quality thresholds. • Classified entities in text • Tagged sentiments in text • Validated existing annotations • Resolved ambiguities with QA teams

2025 - 2025

Education

J

Johnson C. Smith University

Bachelor of Science, Computer Science

Bachelor of Science
2017 - 2020
M

Mercer University

Master of Science, Business Analytics

Master of Science
2024

Work History

M

Mercer University Center for Career and Professional Development

Career Peer Coordinator

Atlanta
2025 - 2026
R

RWS

Data Annotator

Atlanta
2025 - 2025