Christiee M.

Key Skills

Software

No software listed

Top Subject Matter

AI content evaluation and dataset quality for machine learning training

Multilingual AI content evaluation and dataset reliability improvement

Multimodal dataset annotation for ML/NLP

Top Data Types

Text

Audio

Image

Top Task Types

Classification

Freelancer Overview

Senior AI Data Specialist, Digital Intelligence Solutions. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of California (2022) and Bachelor of Science, Florida State University (2020). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Senior AI Data Specialist, Digital Intelligence Solutions

TextClassification

Served as a Senior AI Data Specialist supporting AI training workflows through large-scale evaluation, validation, and quality assurance of model outputs. Conducted prompt/response quality assessments including relevance and accuracy checks, and performed pairwise comparison analyses to improve content selection and ranking. Collaborated with cross-functional teams to refine datasets and maintain high annotation and evaluation quality throughout project delivery. • Evaluated and validated 250,000+ AI-generated responses to measure model performance improvements. • Increased annotation/evaluation consistency by 28% via standardized guidelines and review procedures. • Led multimodal labeling efforts (text, image, audio, video) with quality scores exceeding 98%. • Reduced QA review time by 22% through workflow optimization and improved documentation.

2023 - Present

AI Data Analyst, Innovative Learning Technologies

TextClassification

Worked as an AI Data Analyst performing content evaluation and data quality improvement for machine learning training and validation. Assessed language accuracy, relevance, safety, and contextual appropriateness, and supported multilingual AI dataset labeling and classification efforts. Implemented quality control frameworks to raise reviewer agreement and reduce quality-related issues. • Processed and analyzed 150,000+ data records used for ML training and validation. • Reduced quality-related issues by 30% by correcting annotation inconsistencies. • Increased reviewer agreement rates from 84% to 96% using QC frameworks. • Supported English and multilingual content evaluation and labeling projects with advanced linguistic assessment.

2020 - 2022

Data Annotation Specialist, NextGen Data Services

AudioClassification

Provided data annotation support as a Data Annotation Specialist for machine learning and AI development initiatives. Labeled text, image, and audio datasets and participated in data collection and preprocessing to prepare inputs for predictive analytics and NLP. Contributed to continuous process improvements and supported training materials for new annotation staff. • Annotated large datasets across text, image, and audio formats. • Maintained annotation accuracy above 97% while exceeding productivity targets. • Supported data collection/preprocessing for predictive analytics and NLP. • Accelerated project completion timelines by ~18% through process improvements and documentation.

2018 - 2020

Education

Work History