Dennise A.

Key Skills

Software

No software listed

Top Subject Matter

AI writing quality evaluation and ad quality assurance

Top Data Types

Text

Audio

Document

Top Task Types

Evaluation/Rating

Prompt + Response Writing (SFT)

Transcription

Freelancer Overview

I have 8+ years of experience in AI training data, data labeling, annotation, and quality evaluation for machine learning systems and Large Language Models (LLMs) at Google via Highspring. My work included evaluating AI-generated text and ad content, auditing large datasets, identifying quality issues, and improving the accuracy and consistency of AI outputs across different topics and workflows. What sets me apart is my strong attention to detail, analytical thinking, and ability to maintain high accuracy in fast-paced, high-volume environments. With a background in computer science and experience in QA, data analysis, and technical documentation, I can quickly adapt to evolving annotation guidelines and AI training processes. Education includes a Master of Business Administration (2026) and a Master of Science (2018), both from Northwestern Polytechnic University. AI-training focus includes data types such as Text and labeling workflows, including Evaluation and Rating.

Labeling Experience

Data Labeler

TextPrompt + Response Writing (SFT)

Focused on testing and evaluating AI model performance across various subject areas depending on project assignments. Responsibilities included assessing the accuracy, coherence, reasoning, and instruction-following capabilities of AI-generated responses, identifying factual inconsistencies or harmful outputs, and providing detailed quality evaluations. The project contributed to improving AI model reliability and performance through human feedback, prompt testing, and annotation tasks across diverse topics and use cases.

2026 - Present

Google via Highspring — Data Quality Analyst (AI writing/LLM quality audit & rating)

Text

Evaluated and rated AI-generated writing quality, with particular focus on outputs from Large Language Models and Google search features. Performed quality audits of rated outputs delivered by internal and third-party teams overseas. Produced feedback and reporting to maintain accuracy and consistency despite changes to guidelines. • Rated and evaluated LLM/AI writing and search feature outputs • Audited rated outputs from local and third-party teams overseas • Maintained quality assurance against evolving guidelines • Prepared feedback reports and tracked quality indicators

2022 - Present

AI Data Training

DocumentPrompt + Response Writing (SFT)

Focused on evaluating and testing AI model responses within healthcare and travel-related scenarios. Tasks involved prompt creation, response evaluation, factuality checking, and assessing instruction-following accuracy to ensure AI-generated outputs were relevant, safe, and contextually appropriate. The project emphasized identifying inaccuracies, hallucinations, and quality issues in generative AI responses while helping improve model performance through human feedback and evaluation.

2025 - 2025

Data Annotation Specialist

AudioEvaluation/Rating

AI training data and audio annotation project focused on labeling and evaluating audio and video content to improve machine learning models and speech-based AI systems. Tasks typically involve identifying and tagging sound events, annotating timestamps, classifying audio attributes, reviewing acoustic environments, and validating data quality across multimedia content. The project supports the development of AI applications, including voice assistants, speech recognition systems, large language models (LLMs), and multimedia understanding systems, through high-quality, human-reviewed annotations.

2025 - 2025

Education

Work History