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E
Esther W.

Esther W.

Expert Solution

USA flagtexas, Usa

Key Skills

Software

AppenAppen
CVATCVAT
DatatureDatature
DatumboxDatumbox
DatatroniqDatatroniq
Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelImgLabelImg
Label StudioLabel Studio
LionbridgeLionbridge
MercorMercor
Micro1
Mighty AIMighty AI
MindriftMindrift
Scale AIScale AI
Snorkel AISnorkel AI
Surge AISurge AI
ClickworkerClickworker
Data Annotation TechData Annotation Tech
RemotasksRemotasks

Top Subject Matter

Coding
Finance
Arts

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Object DetectionObject Detection
Question AnsweringQuestion Answering
Text GenerationText Generation
RLHFRLHF
Red TeamingRed Teaming
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Text SummarizationText Summarization
Fine-tuningFine-tuning
CuboidCuboid
ClassificationClassification

Freelancer Overview

I bring 7 years of hands-on experience in data labeling and AI training data across a wide range of platforms, including Labelbox, Scale AI, Appen, Lionbridge, DataLoop, CVAT, Aether, and others. Over the course of my career, I have worked on diverse data types — text annotation, image segmentation, audio transcription, video tagging, and sentiment classification — supporting the development of machine learning and NLP models across industries including autonomous vehicles, healthcare, and conversational AI. My work has consistently met strict quality benchmarks, with a strong understanding of annotation guidelines, inter-annotator agreement, and iterative feedback workflows that ensure high-quality training datasets.

Labeling Experience

Senior Technical Writer

Computer Code ProgrammingComputer Code ProgrammingRLHFRLHF

Own the end-to-end documentation lifecycle for a Kubernetes-native SaaS platform serving 400 + enterprise customers, covering conceptual overviews, step-by-step tutorials, and REST/GraphQL API references. • Introduced a docs-as-code pipeline (GitHub Actions + MDX + Vale linter) that reduced broken-link incidents by 60 % and cut review cycle time from 5 days to 1.5 days. • Partnered with ML engineering to produce training, inference, and fine-tuning guides for the company's LLM integration layer, driving a 35 % drop in related support tickets within 90 days of publication. • Mentored two junior writers and led quarterly style-guide reviews to maintain consistency across 1,200 + documentation pages. • Implemented documentation analytics (Mixpanel + custom dashboards) to identify high-bounce pages and prioritise rewrites, improving average time-on-page by 28 %.

2014 - 2021

Education

U

University of Texas at Austin

DEGREE, Bachelor of Science in Communication Studies

DEGREE
2011 - 2015

Work History

C

Cloudware Technologies

Senior Technical Writer

Texas
2022 - Present
A

Apex Cloud Services

Technical Writer J

Texas
2018 - 2021