Laura Delacruz

Key Skills

Software

Other

Appen

Telus

CloudFactory

Data Annotation Tech

iMerit

Labelbox

Mercor

Mindrift

Remotasks

Snorkel AI

Top Subject Matter

Llms Domain Expertise

AI-generated content

prompt engineering

Top Data Types

Text

Image

Document

Top Task Types

Entity Ner Classification

Classification

Bounding Box

Text Generation

Text Summarization

RLHF

Transcription

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Evaluation Rating

Question Answering

Freelancer Overview

AI Data Annotator / Trainer. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Appen, and Telus. Education includes Doctor of Philosophy, University of Texas at Austin (2024) and Master of Science, University of Texas at Austin (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

AI Data Annotator / Trainer

OtherText

As an AI Data Annotator and Trainer at Outlier AI, I provided high-quality LLM prompt annotations and response evaluations. I consistently applied evolving guidelines and exceeded monthly productivity targets while resolving ambiguous labeling cases. My work also involved enhancing metadata and improving dataset quality for AI model training. • Delivered LLM prompt evaluation and response annotation. • Resolved ambiguous cases with thorough research and critical analysis. • Improved dataset integrity through provider evaluation. • Enhanced metadata for optimal dataset searchability.

As an AI Data Annotator and Trainer at Outlier AI, I provided high-quality LLM prompt annotations and response evaluations. I consistently applied evolving guidelines and exceeded monthly productivity targets while resolving ambiguous labeling cases. My work also involved enhancing metadata and improving dataset quality for AI model training. • Delivered LLM prompt evaluation and response annotation. • Resolved ambiguous cases with thorough research and critical analysis. • Improved dataset integrity through provider evaluation. • Enhanced metadata for optimal dataset searchability.

2023 - Present

Data Annotation Specialist

AppenTextEntity Ner Classification

As a Data Annotation Specialist at Appen, I labeled large-scale text, image, and multimodal datasets for AI training, focusing on NLP tasks and content moderation. I achieved 99%+ accuracy verified by QA audits and handled thousands of entries using detailed annotation rules. My work supported compliance and adaptation to evolving project requirements. • Labeled text, images, and multimodal data for NLP tasks. • Maintained high accuracy in content moderation projects. • Conducted research to verify facts and resolve edge cases. • Collaborated with global teams and adapted to new guidelines.

As a Data Annotation Specialist at Appen, I labeled large-scale text, image, and multimodal datasets for AI training, focusing on NLP tasks and content moderation. I achieved 99%+ accuracy verified by QA audits and handled thousands of entries using detailed annotation rules. My work supported compliance and adaptation to evolving project requirements. • Labeled text, images, and multimodal data for NLP tasks. • Maintained high accuracy in content moderation projects. • Conducted research to verify facts and resolve edge cases. • Collaborated with global teams and adapted to new guidelines.

2022 - 2023

Data Labeler / Quality Analyst

TelusTextEntity Ner Classification

As a Data Labeler and Quality Analyst at TELUS International, I annotated and quality-checked datasets for search relevance, sentiment analysis, and entity recognition projects. I ensured consistency, minimal error rates, and provided documentation for subtle text and media patterns. My work included metadata tagging to benefit model evaluation. • Ensured high consistency in search relevance annotation. • Labeled sentiment and entities in text and media. • Supported metadata extraction for efficient filtering. • Worked independently to resolve ambiguous labeling tasks.

As a Data Labeler and Quality Analyst at TELUS International, I annotated and quality-checked datasets for search relevance, sentiment analysis, and entity recognition projects. I ensured consistency, minimal error rates, and provided documentation for subtle text and media patterns. My work included metadata tagging to benefit model evaluation. • Ensured high consistency in search relevance annotation. • Labeled sentiment and entities in text and media. • Supported metadata extraction for efficient filtering. • Worked independently to resolve ambiguous labeling tasks.

2020 - 2021

Content Moderator / Data Specialist

OtherTextClassification

In my role as a Content Moderator and Data Specialist at TaskUs, I labeled and moderated user-generated content to improve AI models. I applied detailed content policies to identify violations and supported accuracy through research-intensive annotation tasks. My feedback contributed to ongoing process and guideline improvements. • Labeled and moderated user content for compliance. • Researched and verified information before labeling. • Enhanced labeling precision through feedback and tool improvements. • Worked in a fast-paced remote team for process timeliness.

In my role as a Content Moderator and Data Specialist at TaskUs, I labeled and moderated user-generated content to improve AI models. I applied detailed content policies to identify violations and supported accuracy through research-intensive annotation tasks. My feedback contributed to ongoing process and guideline improvements. • Labeled and moderated user content for compliance. • Researched and verified information before labeling. • Enhanced labeling precision through feedback and tool improvements. • Worked in a fast-paced remote team for process timeliness.

2019 - 2020

Junior Data Entry & Research Associate

CloudfactoryTextClassification

As a Junior Data Entry & Research Associate at CloudFactory, I handled data labeling and entry tasks for AI projects. I focused on accurate annotation, supporting dataset enrichment, and transitioned into more specialized labeling work. My foundational role developed skills for later high-volume annotation positions. • Conducted initial data labeling and entry for AI datasets. • Performed online research to enhance data quality. • Built annotation skills for career progression. • Demonstrated accuracy and productivity in annotation workflows.

As a Junior Data Entry & Research Associate at CloudFactory, I handled data labeling and entry tasks for AI projects. I focused on accurate annotation, supporting dataset enrichment, and transitioned into more specialized labeling work. My foundational role developed skills for later high-volume annotation positions. • Conducted initial data labeling and entry for AI datasets. • Performed online research to enhance data quality. • Built annotation skills for career progression. • Demonstrated accuracy and productivity in annotation workflows.

2018 - 2019

Education

Work History