Derrick Kiriago

Key Skills

Software

Labelbox

Scale AI

Appen

Remotasks

Label Studio

Top Subject Matter

Computer Vision

Object Detection & Facial Recognition

Email Data Structuring for NLP

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Polygon

Entity Ner Classification

Evaluation Rating

Transcription

Fine Tuning

Text Generation

Object Detection

Segmentation

Classification

Question Answering

Prompt Response Writing SFT

Freelancer Overview

AI Data Trainer & Annotation Specialist. Core strengths include Labelbox, Scale AI, and Appen. Education includes Bachelor of Science, University of North Carolina at Charlotte (2024) and Associate of Applied Science, Guilford Technical Community College (2018). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Polygon, and Entity (NER) Classification.

Labeling Experience

Email Data Extraction & Data Entry Specialist

AppenTextEntity Ner Classification

In this ongoing role, I extract structured data such as names, contacts, and metadata from unstructured email datasets for AI training purposes. The extracted data is organized and formatted into spreadsheets and databases, ensuring accuracy and consistency. I employ automation and data validation techniques to handle large volumes of data efficiently. • Automated extraction with spreadsheet functions • Ensured data accuracy across large text datasets • Structured and formatted data for machine learning • Managed confidential information with diligence

In this ongoing role, I extract structured data such as names, contacts, and metadata from unstructured email datasets for AI training purposes. The extracted data is organized and formatted into spreadsheets and databases, ensuring accuracy and consistency. I employ automation and data validation techniques to handle large volumes of data efficiently. • Automated extraction with spreadsheet functions • Ensured data accuracy across large text datasets • Structured and formatted data for machine learning • Managed confidential information with diligence

2023 - Present

AI Model Training Support Projects

Text

As part of AI model training support projects, I contributed labeled datasets for NLP and computer vision models. I participated in prompt evaluation and response ranking for conversational AI systems. My work also supported multilingual annotation tasks and model improvement workflows. • Labeled text and image datasets for model training • Conducted prompt and response evaluations for AI systems • Supported RLHF and model fine-tuning processes • Enabled multilingual data annotation and review

As part of AI model training support projects, I contributed labeled datasets for NLP and computer vision models. I participated in prompt evaluation and response ranking for conversational AI systems. My work also supported multilingual annotation tasks and model improvement workflows. • Labeled text and image datasets for model training • Conducted prompt and response evaluations for AI systems • Supported RLHF and model fine-tuning processes • Enabled multilingual data annotation and review

2023 - 2025

AI Data Trainer & Annotation Specialist

LabelboxImageBounding Box

In this role, I annotated and labelled large datasets consisting of images to train machine learning and AI models. Using tools such as Labelbox and Scale AI, I performed bounding box annotation, segmentation, and classification tasks. I maintained high annotation accuracy and collaborated with teams to ensure consistent quality outcomes. • Performed image annotation using bounding box and segmentation techniques • Conducted quality checks and peer reviews on labeled data • Managed high-volume annotation tasks within tight deadlines • Collaborated with distributed teams to refine annotation guidelines

In this role, I annotated and labelled large datasets consisting of images to train machine learning and AI models. Using tools such as Labelbox and Scale AI, I performed bounding box annotation, segmentation, and classification tasks. I maintained high annotation accuracy and collaborated with teams to ensure consistent quality outcomes. • Performed image annotation using bounding box and segmentation techniques • Conducted quality checks and peer reviews on labeled data • Managed high-volume annotation tasks within tight deadlines • Collaborated with distributed teams to refine annotation guidelines

2023 - 2025

Image Annotation Specialist

Scale AIImagePolygon

As an Image Annotation Specialist, I labelled thousands of images for computer vision models using polygon, bounding box, and segmentation techniques. I applied these tasks to datasets involving real-world objects, scenes, and facial recognition. I improved dataset quality through error detection and correction processes. • Utilized object detection and image classification on varied datasets • Applied semantic segmentation and polygon annotation methods • Ensured high-quality standards with rigorous error correction • Supported facial recognition and real-world scene analysis

As an Image Annotation Specialist, I labelled thousands of images for computer vision models using polygon, bounding box, and segmentation techniques. I applied these tasks to datasets involving real-world objects, scenes, and facial recognition. I improved dataset quality through error detection and correction processes. • Utilized object detection and image classification on varied datasets • Applied semantic segmentation and polygon annotation methods • Ensured high-quality standards with rigorous error correction • Supported facial recognition and real-world scene analysis

2023 - 2024

Education

Work History