Lars J.

Key Skills

Software

Labelbox

CVAT

SuperAnnotate

Dataloop

Other

Top Subject Matter

Autonomous driving

medical imaging

retail analytics

Top Data Types

Image

Text

Top Task Types

Segmentation

Entity (NER) Classification

Data Collection

Freelancer Overview

Freelance Data Annotation Specialist (freelancer). Core strengths include Labelbox, CVAT, and SuperAnnotate. Education includes Bachelor of Computer Science, Cairo University (2020) and Certificate, Udemy (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation, Entity (NER) Classification, and Data Collection.

Labeling Experience

Freelance Data Annotation Specialist (text/NLP projects)

OtherTextEntity (NER) Classification

Delivered text annotation for machine learning and AI projects, focusing on named entity recognition (NER) and sentiment analysis. Applied labeling instructions to ensure accurate entity spans/classifications and sentiment tags for training datasets. Participated in quality control activities by reviewing peer annotations against project guidelines. • Labeled NER annotations for structured entity extraction tasks • Tagged sentiment labels to support classification model training • Conducted and/or supported peer review during QA audits • Maintained label consistency across large annotation volumes

2021 - Present

Freelance Data Annotation Specialist (freelancer)

LabelboxImageSegmentation

Freelance Data Annotation Specialist working on image datasets for multiple AI domains. Performed semantic segmentation and instance segmentation labeling tasks using established guidelines to ensure model-ready annotations. Achieved over 99% accuracy while delivering large datasets ahead of schedule. • Labeled autonomous driving visual data with segmentation and bounding formats as required by projects • Annotated medical imaging datasets following QA standards and review cycles • Produced retail analytics annotations to support downstream ML model training • Collaborated with AI vendors to maintain consistency across labeling batches

2021 - Present

Data Annotation Intern

OtherImageData Collection

Data Annotation Intern assisting with large-volume visual data labeling for machine learning model training. Followed annotation standards to label images and prepare datasets for data science workflows. Recognized as “Top Intern” for attention to detail and performance. • Annotated visual data batches for ML model readiness • Assisted with cleaning and preparing datasets per annotation standards • Recommended better annotation workflows to improve data pipeline efficiency • Received “Top Intern” recognition for quality and accuracy

2020 - 2020

Education

Work History