Ismael Deltoro

Key Skills

Software

Other

Scale AI

Appen

Top Subject Matter

AI Data Collection for Computer Vision

Autonomous Vehicle/Object Detection AI

Engineering Data Labeling for AI

Top Data Types

Image

Video

Text

Document

Top Task Types

Data Collection

Segmentation

Classification

Freelancer Overview

Freelance Visual Data Collector, Microsoft. Core strengths include Other, Scale AI, and Appen. Education includes Bachelor of Science, California Institute of Technology (2019) and General Education Development, Bronx High School of Science (2012). AI-training focus includes data types such as Image and Video and labeling workflows including Data Collection, Segmentation, and Classification.

Labeling Experience

Freelance Visual Data Collector, Microsoft

OtherImageData Collection

This role involves capturing and organizing large quantities of image data to improve AI training datasets. Responsible for both the collection and meticulous labeling of photographic sequences with rigorous metadata standards. Compliance with ethical and legal data collection protocols is maintained throughout. • Execute high-volume photographic series focused on clarity and environmental consistency. • Organize and label images per strict metadata requirements. • Ensure ethical and legal compliance in all data collection activities. • Contribute to AI training datasets for US-based startups.

This role involves capturing and organizing large quantities of image data to improve AI training datasets. Responsible for both the collection and meticulous labeling of photographic sequences with rigorous metadata standards. Compliance with ethical and legal data collection protocols is maintained throughout. • Execute high-volume photographic series focused on clarity and environmental consistency. • Organize and label images per strict metadata requirements. • Ensure ethical and legal compliance in all data collection activities. • Contribute to AI training datasets for US-based startups.

2024 - Present

Data Annotation & QA Lead, Scale AI

Scale AIVideoSegmentation

This position led high-precision video labeling and segmenting projects for autonomous vehicle and object detection AI models. Responsibilities included QA testing and dataset validation to resolve vision-based logic problems and maintain high data accuracy. Mentored junior annotators and managed annotation pipelines with advanced tools. • Lead large-scale video segmentation initiatives for AI training. • Conduct QA and bug reporting for complex mobile applications. • Utilize LandingLens and custom tools for color detection and classification. • Ensure data accuracy by mentoring and reviewing junior team work.

This position led high-precision video labeling and segmenting projects for autonomous vehicle and object detection AI models. Responsibilities included QA testing and dataset validation to resolve vision-based logic problems and maintain high data accuracy. Mentored junior annotators and managed annotation pipelines with advanced tools. • Lead large-scale video segmentation initiatives for AI training. • Conduct QA and bug reporting for complex mobile applications. • Utilize LandingLens and custom tools for color detection and classification. • Ensure data accuracy by mentoring and reviewing junior team work.

2021 - 2024

Technical Data Analyst, Appen

AppenImageClassification

This role supported engineering-focused technical data analysis and integrity for hardware-integrated AI models, ensuring precise metadata labeling. Responsibilities included managing large-scale workflows and drafting technical documentation for labeled manufacturing data. Performed root-cause analysis to improve training efficiency for models. • Managed workflows containing sizable datasets for AI training. • Labeled metadata for image and manufacturing datasets. • Drafted technical documentation on structural loads and manufacturing. • Conducted data discrepancy analysis to enhance machine learning outcomes.

This role supported engineering-focused technical data analysis and integrity for hardware-integrated AI models, ensuring precise metadata labeling. Responsibilities included managing large-scale workflows and drafting technical documentation for labeled manufacturing data. Performed root-cause analysis to improve training efficiency for models. • Managed workflows containing sizable datasets for AI training. • Labeled metadata for image and manufacturing datasets. • Drafted technical documentation on structural loads and manufacturing. • Conducted data discrepancy analysis to enhance machine learning outcomes.

2019 - 2020

Education

Work History