Key Skills

Software

Labelbox

Clickworker

Supervisely

Other

Top Subject Matter

Computer Vision

Natural Language Processing

Speech Recognition

Top Data Types

Image

Text

Audio

Top Task Types

Object Detection

Entity Ner Classification

Segmentation

Transcription

Freelancer Overview

Lead Annotation Specialist. Core strengths include Labelbox, Clickworker, and Supervisely. Education includes Master of Science, University of California, Berkeley (2020) and Bachelor of Science, University of Washington, Seattle (2015). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Object Detection, Entity (NER) Classification, and Segmentation.

Labeling Experience

Lead Annotation Specialist

LabelboxImageObject Detection

I led the annotation team in labeling over 1 million images for various computer vision tasks. My work focused on ensuring annotation quality in object detection, image classification, and segmentation. I regularly audited, trained, and created guidelines for annotation processes. • Oversaw image labeling for multiple CV use cases • Instituted quality control strategies and audits • Guided annotators in best practices • Worked with ML engineers to optimize annotation tools

I led the annotation team in labeling over 1 million images for various computer vision tasks. My work focused on ensuring annotation quality in object detection, image classification, and segmentation. I regularly audited, trained, and created guidelines for annotation processes. • Oversaw image labeling for multiple CV use cases • Instituted quality control strategies and audits • Guided annotators in best practices • Worked with ML engineers to optimize annotation tools

2021 - Present

Senior Data Annotator

ClickworkerTextEntity Ner Classification

I annotated more than 500,000 text samples for tasks such as sentiment analysis and NER. I leveraged active learning techniques to select valuable samples for annotation. My efforts contributed to a 15% improvement in model performance. • Conducted meticulous text annotation and labeling • Implemented active learning strategies • Provided structured feedback to improve annotation quality • Participated in ongoing project discussions

I annotated more than 500,000 text samples for tasks such as sentiment analysis and NER. I leveraged active learning techniques to select valuable samples for annotation. My efforts contributed to a 15% improvement in model performance. • Conducted meticulous text annotation and labeling • Implemented active learning strategies • Provided structured feedback to improve annotation quality • Participated in ongoing project discussions

2019 - 2021

Data Annotation Specialist

SuperviselyImageSegmentation

I played a vital role in labeling over 300,000 images for object detection and instance segmentation. I authored and maintained annotation guidelines, ensuring consistency across data sets. My implementation of quality assurance increased annotation accuracy by 10%. • Labeled images for detection and segmentation models • Developed best practices and guidelines • Provided feedback on annotation tools • Initiated a QA program for annotation accuracy

I played a vital role in labeling over 300,000 images for object detection and instance segmentation. I authored and maintained annotation guidelines, ensuring consistency across data sets. My implementation of quality assurance increased annotation accuracy by 10%. • Labeled images for detection and segmentation models • Developed best practices and guidelines • Provided feedback on annotation tools • Initiated a QA program for annotation accuracy

2017 - 2019

Data Labeler

OtherAudioTranscription

I was responsible for annotating thousands of audio samples for speech recognition and NLP models. I helped refine labeling taxonomies and improve guidelines through collaboration with domain experts. My commitment to QA resulted in high annotation accuracy. • Labeled and transcribed speech and NLP audio data • Refined taxonomies in partnership with SMEs • Conducted thorough quality checks • Trained and onboarded new annotation team members

I was responsible for annotating thousands of audio samples for speech recognition and NLP models. I helped refine labeling taxonomies and improve guidelines through collaboration with domain experts. My commitment to QA resulted in high annotation accuracy. • Labeled and transcribed speech and NLP audio data • Refined taxonomies in partnership with SMEs • Conducted thorough quality checks • Trained and onboarded new annotation team members

2015 - 2017

Education

Work History