Fabian

Key Skills

Software

Labelbox

Don't disclose

Appen

Top Subject Matter

Autonomous vehicle perception

computer vision

image segmentation

Top Data Types

Image

Text

Audio

Top Task Types

Segmentation

Diagnosis

Transcription

Freelancer Overview

Data Annotation Lead — CloudFactory. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Internal, and Proprietary Tooling. Education includes Bachelor of Science, University of California, Davis (2017) and Certification, Amazon Web Services (2023). AI-training focus includes data types such as Image, Text, and Medical and labeling workflows including Segmentation, Entity (NER), and Diagnosis.

Labeling Experience

Senior Data Annotation Specialist — Synthesis AI

Text

Performed and supervised supervised NLP data annotation for conversational AI and other client projects. Labeled text for entities, intents, and dialogue acts to support conversational AI model training. Applied rigorous quality control including audits and calibration to keep annotation reliability consistently high. • NER annotation for dialogue and conversational contexts • Intent classification and dialogue act labeling • Achieved strong agreement using calibration and audits • Coordinated backlog prioritization with ML teams

2022 - Present

Data Annotation Lead — CloudFactory

LabelboxImageSegmentation

Led data annotation and quality assurance for large-scale computer vision datasets supporting autonomous vehicle perception models. Maintained high labeling accuracy through multi-stage review pipelines and continuous guideline updates. Ensured consistent annotation quality across remote annotators while meeting strict monthly delivery targets. • Managed 12 annotators • Drove image segmentation labeling quality • Implemented Labelbox-based quality review to cut errors • Monitored Cohen's Kappa and IAA scores above 0.85

2019 - 2022

Multilingual NER Dataset Construction — Global NER model

Text

Led construction and annotation of a large multilingual NER dataset for a global model. Produced consistent entity labels across English, Spanish, and French to support cross-language NER training. Ensured strong inter-annotator agreement through coordinated guideline application. • Labeled 200,000 sentences • Coordinated with linguists • Achieved IAA of 0.88+ • Built dataset for multilingual NER model training

2020 - 2021

Data Annotator — Appen

AppenAudioTranscription

Completed data annotation tasks across audio projects including speech-to-text and related sentiment labeling. Transcribed and labeled audio data to support AI model training for language and speech applications. Maintained high performance by consistently meeting throughput and accuracy expectations. • Performed audio transcription • Supported sentiment-related labeling workflows • Achieved top-5% performance ranking • Identified labeling inconsistencies for guideline improvements

2017 - 2019

Medical Imaging Annotation Initiative — Health-tech startup partnership

Don't discloseDiagnosis

Contributed to a medical imaging annotation initiative for a diagnostic AI model. Labeled radiology scans using HIPAA-compliant workflows suitable for clinical AI dataset creation. Supported validation of high label quality with clinical expert review. • Labeled 80,000+ radiology scans • Ensured HIPAA-compliant annotation processes • Helped reach 97% label accuracy • Collaborated with health-tech stakeholders for dataset readiness

2022

Education

Work History