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E

Epperson Kenocha

ICT Officer & AI Evaluation Specialist

USA flag
N/A, Usa
$25.00/hrExpertAws SagemakerAnno MageAppen

Key Skills

Software

AWS SageMakerAWS SageMaker
Anno-MageAnno-Mage
AppenAppen
ArgillaArgilla
Axiom AI
ClickworkerClickworker
CloudFactoryCloudFactory
CrowdFlowerCrowdFlower
CrowdSourceCrowdSource
CVATCVAT
Data Annotation TechData Annotation Tech
DataturkDataturk
DatatroniqDatatroniq
DatumboxDatumbox
DatasaurDatasaur
DatatureDatature
Deep SystemsDeep Systems
DiffgramDiffgram
DoccanoDoccano
EncordEncord
Figure EightFigure Eight
Google Cloud Vertex AIGoogle Cloud Vertex AI
HastyHasty
HiveMindHiveMind
HumanaticHumanatic
iMeritiMerit
Img Lab
Kili TechnologyKili Technology
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
LightTagLightTag
LionbridgeLionbridge
MercorMercor
Micro1
Mighty AIMighty AI
MindriftMindrift
OneFormaOneForma
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
PlaymentPlayment
ProdigyProdigy
Redbrick AIRedbrick AI
RemotasksRemotasks
SamaSama
Scale AIScale AI
SlothSloth
Snorkel AISnorkel AI
SuperAnnotateSuperAnnotate
SuperviselySupervisely
Surge AISurge AI
TagtogTagtog
TolokaToloka
TelusTelus
Trilldata Technologies
VoTT
V7 LabsV7 Labs
Internal/Proprietary Tooling

Top Subject Matter

AI model evaluation and improvement
Machine learning data annotation
Legal Services & Contract Review

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Classification
Bounding Box
Polygon
Segmentation
Entity Ner Classification
Point Key Point
Polyline
Cuboid
Object Detection
Text Generation
Question Answering
Text Summarization
RLHF
Fine Tuning
Red Teaming
Transcription
Evaluation Rating
Computer Programming Coding
Data Collection
Function Calling
Prompt Response Writing SFT

Freelancer Overview

ICT Officer & AI Evaluation Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of California, Berkeley (2023) and Bachelor of Science, University of Texas at Austin (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

ExpertEnglish

Labeling Experience

ICT Officer & AI Evaluation Specialist

Text
Evaluated and ranked outputs from Large Language Models (LLMs) across multiple modalities including text, image, audio, and video for research and improvement purposes. Provided qualitative feedback to enhance model reasoning, relevance, and accuracy following structured rubrics and guidelines. Collaborated closely with AI research teams remotely to boost model reliability and ensure dataset quality. • Assessed outputs in various modalities. • Followed strict evaluation guidelines and rubrics. • Maintained consistent accuracy while handling high volumes. • Worked asynchronously with research teams.

Evaluated and ranked outputs from Large Language Models (LLMs) across multiple modalities including text, image, audio, and video for research and improvement purposes. Provided qualitative feedback to enhance model reasoning, relevance, and accuracy following structured rubrics and guidelines. Collaborated closely with AI research teams remotely to boost model reliability and ensure dataset quality. • Assessed outputs in various modalities. • Followed strict evaluation guidelines and rubrics. • Maintained consistent accuracy while handling high volumes. • Worked asynchronously with research teams.

2023 - Present

Data Annotation Specialist

TextClassification
Performed large-scale data labeling and annotation for machine learning training datasets, focusing on multimodal data including chat logs, images, and user interactions. Consistently improved dataset quality through thorough review, correction, and standardization processes. Contributed to refining annotation guidelines and streamlining workflow efficiency within the team. • Labeled and annotated multimodal datasets. • Conducted systematic quality reviews and corrections. • Supported improvements in annotation processes. • Ensured adherence to standardization guidelines.

Performed large-scale data labeling and annotation for machine learning training datasets, focusing on multimodal data including chat logs, images, and user interactions. Consistently improved dataset quality through thorough review, correction, and standardization processes. Contributed to refining annotation guidelines and streamlining workflow efficiency within the team. • Labeled and annotated multimodal datasets. • Conducted systematic quality reviews and corrections. • Supported improvements in annotation processes. • Ensured adherence to standardization guidelines.

2021 - 2023

Education

U

University of California, Berkeley

Master of Science, Computer Science

Master of Science
2023 - 2023
U

University of Texas at Austin

Bachelor of Science, Information Science

Bachelor of Science
2021 - 2021

Work History

F

FutureSoft Solutions

ICT Technical Support & Quality Assurance Analyst

N/A
2019 - 2021