Maxim Velo

Key Skills

Software

Labelbox

CVAT

Top Subject Matter

Natural Language Processing

Computer Vision

AI Model Training

Top Data Types

Text

Image

Document

Top Task Types

Entity Ner Classification

Freelancer Overview

AI Data Annotation Specialist (Freelance / Contract-Based). Core strengths include Labelbox and CVAT. Education includes Doctor of Philosophy, University of Toronto (2023) and Master of Science, University of Manchester (2023). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Labeling Experience

AI Data Annotation Specialist (Freelance / Contract-Based)

LabelboxTextEntity Ner Classification

As an AI Data Annotation Specialist, I labeled and annotated datasets to support supervised machine learning models in NLP and computer vision. I ensured high data quality and consistency by reviewing and correcting annotation outputs. My work encompassed a range of annotation tasks including sentiment analysis, entity recognition, content categorization, and image classification. • Labeled large datasets for AI training and supervised learning. • Maintained high annotation accuracy under tight deadlines. • Collaborated with distributed teams on labeling guideline development. • Utilized multiple annotation software tools to complete projects.

As an AI Data Annotation Specialist, I labeled and annotated datasets to support supervised machine learning models in NLP and computer vision. I ensured high data quality and consistency by reviewing and correcting annotation outputs. My work encompassed a range of annotation tasks including sentiment analysis, entity recognition, content categorization, and image classification. • Labeled large datasets for AI training and supervised learning. • Maintained high annotation accuracy under tight deadlines. • Collaborated with distributed teams on labeling guideline development. • Utilized multiple annotation software tools to complete projects.

2021 - Present

AI Training Contributor / Data Labeler

CVATText

As an AI Training Contributor and Data Labeler, I contributed to the preparation and structuring of datasets for machine learning models. I participated in the development of annotation schemas and evaluation of AI models. My efforts focused on ethical, unbiased, and accurate handling of sensitive data for both independent and academic research projects. • Prepared and cleaned datasets for algorithm consumption. • Assisted in the creation and refinement of labeling frameworks. • Benchmarked AI model performance through evaluation tasks. • Ensured ethical handling and unbiased annotation of data.

As an AI Training Contributor and Data Labeler, I contributed to the preparation and structuring of datasets for machine learning models. I participated in the development of annotation schemas and evaluation of AI models. My efforts focused on ethical, unbiased, and accurate handling of sensitive data for both independent and academic research projects. • Prepared and cleaned datasets for algorithm consumption. • Assisted in the creation and refinement of labeling frameworks. • Benchmarked AI model performance through evaluation tasks. • Ensured ethical handling and unbiased annotation of data.

2020 - 2021

Education

Work History