Latoya Anderson

Key Skills

Software

Appen

Clickworker

CrowdFlower

CrowdSource

Figure Eight

Labelbox

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Action Recognition

Bounding Box

Classification

Emotion Recognition

Entity Ner Classification

Freelancer Overview

I am a detail-oriented data annotation specialist with over 4 years of hands-on experience supporting AI model training, prompt evaluation, and data labeling projects for large language models and content moderation systems. My work spans text, image, audio, and video annotation, as well as search engine and ad relevance evaluation, where I consistently deliver high-quality, accurate training data for NLP and generative AI systems. I am skilled in using tools like Excel, G-Suite, and proprietary AI platforms, and have a strong background in digital content review, quality assurance, and feedback loops. My adaptability, commitment to accuracy, and ability to meet tight deadlines have allowed me to contribute effectively to remote teams and high-impact AI development initiatives.

Labeling Experience

AI Data Specialist / Prompt Trainer — Freelance (Remote)

AppenTextEvaluation Rating

As an AI Data Specialist and Prompt Trainer, I created structured training data to optimize machine learning model outputs and participated in feedback loops for LLM and generative AI system training. My work involved annotating, tagging sentiment, performing QA reviews, and applying prompt evaluation and rewriting strategies. The projects often involved adhering to evolving guidelines and rapid instruction changes while ensuring low error rates. • Delivered high-accuracy labeled datasets for LLM fine-tuning and prompt evaluation • Conducted sentiment tagging, QA review, and structured data annotation for NLP systems • Applied RLHF-style feedback and response ranking on diverse datasets • Collaborated across platforms to meet throughput and quality benchmarks

As an AI Data Specialist and Prompt Trainer, I created structured training data to optimize machine learning model outputs and participated in feedback loops for LLM and generative AI system training. My work involved annotating, tagging sentiment, performing QA reviews, and applying prompt evaluation and rewriting strategies. The projects often involved adhering to evolving guidelines and rapid instruction changes while ensuring low error rates. • Delivered high-accuracy labeled datasets for LLM fine-tuning and prompt evaluation • Conducted sentiment tagging, QA review, and structured data annotation for NLP systems • Applied RLHF-style feedback and response ranking on diverse datasets • Collaborated across platforms to meet throughput and quality benchmarks

2020

Search Engine Evaluator — Appen Butler Hill (Remote)

AppenTextEvaluation Rating

As a Search Engine Evaluator at Appen Butler Hill, I assessed search engine results, advertisements, and online content for quality and relevance. My feedback directly contributed to improving search algorithms and ad quality using linguistic and regional expertise. I consistently maintained high accuracy and detailed evaluation records throughout this assignment. • Delivered feedback on relevance and usefulness of search results and ads • Verified online content compliance, quality, and policy adherence • Maintained high QA scores and fast ramp-up under dynamic project demands • Used proprietary AI platforms to support large-scale evaluation efforts

As a Search Engine Evaluator at Appen Butler Hill, I assessed search engine results, advertisements, and online content for quality and relevance. My feedback directly contributed to improving search algorithms and ad quality using linguistic and regional expertise. I consistently maintained high accuracy and detailed evaluation records throughout this assignment. • Delivered feedback on relevance and usefulness of search results and ads • Verified online content compliance, quality, and policy adherence • Maintained high QA scores and fast ramp-up under dynamic project demands • Used proprietary AI platforms to support large-scale evaluation efforts

2021 - 2022

Education

Work History