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Melonie Gibbs

Melonie Gibbs

Data Annotator | HomeClutterbot

USA flagKansas City, Usa
$25.00/hrExpertOtherTolokaCloudfactory

Key Skills

Software

Other
TolokaToloka
CloudFactoryCloudFactory
MercorMercor
Micro1
MindriftMindrift

Top Subject Matter

Home organization
Automation Domain Expertise
General AI training data

Top Data Types

ImageImage
AudioAudio
TextText

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
PolygonPolygon
TranscriptionTranscription
Object DetectionObject Detection

Freelancer Overview

Data Annotator | HomeClutterbot. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Toloka, and CloudFactory. Education includes Doctor of Philosophy, Washington University in St. Louis (2013) and Master of Arts, University of Iowa (2008). AI-training focus includes data types such as Image and labeling workflows including Classification.

ExpertEnglish

Labeling Experience

Data Annotator | HomeClutterbot

OtherImageClassification
As a Data Annotator at HomeClutterbot, I contributed to high-quality data annotation for AI training. I meticulously labeled and reviewed image data according to strict project guidelines. My work resulted in improved accuracy and enhanced model performance. • Ensured accuracy and completeness of annotations through regular reviews • Collaborated with data scientists and engineers to maintain data quality • Adopted new annotation techniques to boost efficiency • Maintained detailed records and reported challenges promptly

As a Data Annotator at HomeClutterbot, I contributed to high-quality data annotation for AI training. I meticulously labeled and reviewed image data according to strict project guidelines. My work resulted in improved accuracy and enhanced model performance. • Ensured accuracy and completeness of annotations through regular reviews • Collaborated with data scientists and engineers to maintain data quality • Adopted new annotation techniques to boost efficiency • Maintained detailed records and reported challenges promptly

2025 - 2025
Toloka

Junior Data Annotator | Toloka

TolokaImageClassification
In my role as Junior Data Annotator at Toloka, I managed annotation of over 50,000 image data points. I utilized sophisticated annotation tools to enhance data quality and reduce errors. My contributions directly improved machine learning model reliability and precision. • Led a team project to increase data processing efficiency • Regularly collaborated with data scientists to refine validation protocols • Provided feedback to improve annotation tool usability • Assisted in training machine learning models for high accuracy

In my role as Junior Data Annotator at Toloka, I managed annotation of over 50,000 image data points. I utilized sophisticated annotation tools to enhance data quality and reduce errors. My contributions directly improved machine learning model reliability and precision. • Led a team project to increase data processing efficiency • Regularly collaborated with data scientists to refine validation protocols • Provided feedback to improve annotation tool usability • Assisted in training machine learning models for high accuracy

2024 - 2024
CloudFactory

Junior Data Annotator | Cloudfactory

CloudfactoryImageClassification
As a Junior Data Annotator at Cloudfactory, I handled the annotation of large volumes of image data. My careful attention to accuracy led to a high-quality dataset critical for AI development. I also supported onboarding and data validation for new team members. • Annotated 30,000 data points with a strong accuracy rate • Developed training material to aid new annotators • Conducted review sessions to ensure data consistency • Improved overall onboarding processes for annotation projects

As a Junior Data Annotator at Cloudfactory, I handled the annotation of large volumes of image data. My careful attention to accuracy led to a high-quality dataset critical for AI development. I also supported onboarding and data validation for new team members. • Annotated 30,000 data points with a strong accuracy rate • Developed training material to aid new annotators • Conducted review sessions to ensure data consistency • Improved overall onboarding processes for annotation projects

2023 - 2023

Education

W

Washington University in St. Louis

Doctor of Philosophy, Political Science

Doctor of Philosophy
2010 - 2013
U

University of Iowa

Master of Arts, Political Science

Master of Arts
2007 - 2008

Work History

H

H&R Block

Manager, Lead Data Scientist

Kansas City
2022 - Present
H

H&R Block

Senior Data Scientist

Kansas City
2020 - 2022