Montreo M.

Key Skills

Software

Other

Top Subject Matter

AI/ML training data (text and structured data)

AI/ML training data (image and multimodal annotation)

Data preparation/collection workflows for AI training

Top Data Types

Text

Image

Top Task Types

Classification

Data Collection

Freelancer Overview

Freelance Data Labeling & AI Training Specialist (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, New Jersey Institute of Technology. AI-training focus includes data types such as Text, Image, and Computer Code and labeling workflows including Classification and Data Collection.

Labeling Experience

Freelance Data Labeling & AI Training Specialist (Remote)

OtherData Collection

Supported preparation of training-ready datasets by organizing and formatting labeled data for machine learning pipelines. Used automation and AI-assisted tools to improve collection and preprocessing workflow efficiency. Maintained quality standards through review and consistency checks before finalizing datasets for use. • Dataset formatting for training • Automation-assisted preprocessing support • Consistency verification • Independent remote execution

2024 - Present

Freelance Data Labeling & AI Training Specialist (Remote)

OtherImageClassification

Assisted with AI-related workflows that included image and text annotation tasks. Applied labeling processes to create structured annotations aligned with project requirements. Performed validation to reduce labeling errors and maintain dataset usability for AI training. • Image and text annotation support • Quality assurance for labeled outputs • Use of AI-assisted and automation tools • Workflow productivity improvements

2024 - Present

Freelance Data Labeling & AI Training Specialist (Remote)

OtherTextClassification

Labeled and categorized datasets to support AI and machine learning training projects. Reviewed and validated labeled data to ensure accuracy, consistency, and quality standards. Organized structured outputs in spreadsheet and machine-readable formats for downstream training use. • Text dataset categorization • Data consistency and accuracy checks • Spreadsheet/CSV/JSON dataset organization • Deadline-focused independent task completion

2024 - Present

Education

Work History