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T

Tiffany Graves

AI Data Labeling & Annotation Specialist | LLM Evaluation

USA flagGreensborp, Usa
$25.00/hrExpertAppenClickworkerData Annotation Tech

Key Skills

Software

AppenAppen
ClickworkerClickworker
Data Annotation TechData Annotation Tech
LabelboxLabelbox
OneFormaOneForma
Internal/Proprietary Tooling
TelusTelus
TolokaToloka
Scale AIScale AI
RemotasksRemotasks
Don't disclose

Top Subject Matter

Education / Research - Academic or Knowledge Datasets
Environmental / Natural Resources — Land Use & Geospatial Data
Technology / Software — AI Systems & Data Annotation

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Classification
Transcription
Question Answering
Text Generation
Object Detection
Text Summarization
Evaluation Rating

Freelancer Overview

I have experience contributing to AI training workflows through data labeling, annotation, and human-in-the-loop evaluation of large language model (LLM) outputs. My work includes ranking AI responses, applying rubric-based scoring frameworks, and reviewing outputs for accuracy, hallucinations, bias, and safety risks. I follow detailed annotation guidelines to ensure consistency while providing structured feedback that helps improve model performance and training datasets. In addition to text evaluation, I have experience working with multimodal datasets including transcription review, caption validation, and conversational AI response analysis. My background in quality assurance and language editing supports high annotation accuracy, strong attention to detail, and reliable guideline compliance when working with large datasets and structured labeling workflows.

ExpertEnglish

Labeling Experience

Multimodal Dataset Annotation

ImageClassification
Performed dataset annotation tasks supporting multimodal AI training datasets. Responsibilities included reviewing visual data, assigning descriptive tags or categories, and validating dataset consistency based on detailed annotation guidelines. Work required careful attention to labeling accuracy, metadata tagging, and quality assurance to ensure datasets were properly structured for machine learning model training.

Performed dataset annotation tasks supporting multimodal AI training datasets. Responsibilities included reviewing visual data, assigning descriptive tags or categories, and validating dataset consistency based on detailed annotation guidelines. Work required careful attention to labeling accuracy, metadata tagging, and quality assurance to ensure datasets were properly structured for machine learning model training.

2024 - Present

Audio Transcription & Caption Data Labeling

AudioTranscription
Completed audio transcription and speech data labeling tasks used to support AI speech recognition and language model training datasets. Responsibilities included transcribing spoken dialogue, correcting transcripts for accuracy, identifying speakers, and reviewing caption timing and formatting. Work required careful guideline compliance, attention to detail, and consistent formatting to ensure high-quality training data used for speech recognition and conversational AI systems.

Completed audio transcription and speech data labeling tasks used to support AI speech recognition and language model training datasets. Responsibilities included transcribing spoken dialogue, correcting transcripts for accuracy, identifying speakers, and reviewing caption timing and formatting. Work required careful guideline compliance, attention to detail, and consistent formatting to ensure high-quality training data used for speech recognition and conversational AI systems.

2024 - Present

AI Training Data Annotation & Response Evaluation

TextClassification
Performed data labeling and annotation tasks supporting AI training datasets. Responsibilities included reviewing and categorizing text data, evaluating AI-generated responses, and applying structured annotation guidelines to ensure consistency and accuracy. Tasks included response ranking, rubric-based scoring, transcription validation, and dataset quality checks across conversational and language datasets. Maintained strong guideline compliance and attention to detail to support high-quality training data used in machine learning model development.

Performed data labeling and annotation tasks supporting AI training datasets. Responsibilities included reviewing and categorizing text data, evaluating AI-generated responses, and applying structured annotation guidelines to ensure consistency and accuracy. Tasks included response ranking, rubric-based scoring, transcription validation, and dataset quality checks across conversational and language datasets. Maintained strong guideline compliance and attention to detail to support high-quality training data used in machine learning model development.

2024 - Present

Education

G

Greensboro College

Bachelor's , English

Bachelor's
2000 - 2023

Work History

U

United States Department of Agriculture

Program Manager

Gr
2023 - 2025
U

United States Department of Agriculture

Cartographer

Greensboro
2010 - 2023