Diana Garcia

Key Skills

Software

Mercor

Mindrift

Scale AI

Snorkel AI

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Text

Video

Top Label Types

Bounding Box

Computer Programming Coding

Data Collection

Evaluation Rating

Fine Tuning

Object Detection

Prompt Response Writing SFT

Question Answering

Red Teaming

RLHF

Text Generation

Text Summarization

Freelancer Overview

I am an experienced AI data specialist with a strong background in data annotation, labeling, and quality assurance for machine learning and NLP projects. My work spans text, image, audio, and video data, where I have performed pairwise comparisons, object tagging, content evaluation, and metadata classification using advanced annotation platforms and web-based review dashboards. I excel at identifying bias, ensuring data integrity, and maintaining strict compliance with ethical AI and confidentiality standards. My advanced English proficiency and analytical skills allow me to deliver high-precision results in remote, metrics-driven environments, adapting quickly to evolving guidelines and complex project requirements.

Labeling Experience

AI Data Specialist (Contract / Remote), Human-in-the-Loop AI Training Programs

MercorImageBounding BoxText Generation

Annotated and evaluated datasets across text, image, audio, and video modalities as part of AI model training and refinement. Applied pairwise comparisons, counting tasks, and object tagging to support multimodal AI systems. Labeled data according to detailed guidelines, taxonomies, and escalation protocols while ensuring high accuracy and productivity. • Reviewed and rated AI-generated English content for grammar, fluency, coherence, and intent alignment. • Identified and flagged ambiguous, misleading, or sensitive outputs per defined procedures. • Maintained strict compliance with confidentiality, security, and ethical AI standards. • Demonstrated reliability and consistency in remote, metrics-driven environments.

Annotated and evaluated datasets across text, image, audio, and video modalities as part of AI model training and refinement. Applied pairwise comparisons, counting tasks, and object tagging to support multimodal AI systems. Labeled data according to detailed guidelines, taxonomies, and escalation protocols while ensuring high accuracy and productivity. • Reviewed and rated AI-generated English content for grammar, fluency, coherence, and intent alignment. • Identified and flagged ambiguous, misleading, or sensitive outputs per defined procedures. • Maintained strict compliance with confidentiality, security, and ethical AI standards. • Demonstrated reliability and consistency in remote, metrics-driven environments.

2023

Data Annotation & Quality Review Specialist (Remote), Independent AI & Data Labeling Projects

Scale AITextText GenerationText Summarization

Labeled structured and unstructured datasets for NLP and machine learning workflows. Evaluated AI responses for clarity, relevance, and usefulness using standardized rubrics. Assisted in refining datasets by identifying duplicates, corrupted entries, and low-value examples. • Applied consistent judgment across high-volume annotation queues. • Delivered reliable results in asynchronous remote project environments. • Adapted promptly to shifting project instructions and benchmarks. • Focused on quality assurance for AI training data in English language contexts.

Labeled structured and unstructured datasets for NLP and machine learning workflows. Evaluated AI responses for clarity, relevance, and usefulness using standardized rubrics. Assisted in refining datasets by identifying duplicates, corrupted entries, and low-value examples. • Applied consistent judgment across high-volume annotation queues. • Delivered reliable results in asynchronous remote project environments. • Adapted promptly to shifting project instructions and benchmarks. • Focused on quality assurance for AI training data in English language contexts.

2021 - 2023

Digital Content Analyst (Remote), Freelance Projects

MindriftVideoObject DetectionRLHF

Reviewed and categorized digital content to improve structure, organization, and search usability. Applied tagging and labeling frameworks to support content retrieval and data analysis. Maintained compliance with content quality standards in remote freelance environments. • Built proficiency with web-based labeling and productivity tools. • Ensured accuracy and project guideline adherence across assignments. • Supported downstream analysis through accurate and consistent tagging. • Provided content structure improvements for digital media and documents.

Reviewed and categorized digital content to improve structure, organization, and search usability. Applied tagging and labeling frameworks to support content retrieval and data analysis. Maintained compliance with content quality standards in remote freelance environments. • Built proficiency with web-based labeling and productivity tools. • Ensured accuracy and project guideline adherence across assignments. • Supported downstream analysis through accurate and consistent tagging. • Provided content structure improvements for digital media and documents.

2019 - 2021

Education

Work History