Monica T.

Key Skills

Software

Other

Labelbox

Top Subject Matter

LLM training datasets and AI output evaluation

Multimedia annotation for AI training

LLM output evaluation for safety and quality

Top Data Types

Text

Video

Image

Document

Top Task Types

Classification

Freelancer Overview

AI Data Specialist (Freelance Remote) — Independent AI Projects / Remote (2023 – Present). Core strengths include Other and Labelbox. Education includes Master of Science, North Carolina State University (2023) and Bachelor of Science, University of North Carolina at Charlotte (2020). AI-training focus includes data types such as Text and Video and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

AI Data Specialist (Freelance Remote) — Independent AI Projects / Remote (2023 – Present)

LabelboxVideoClassification

Labeled and tagged multimedia data, including video content, to support machine learning training pipelines. Applied object tagging and multimedia labeling workflows to create high-quality annotations at scale. Ensured label consistency by following annotation guidelines and performing quality checks. • Executed object tagging for multimedia training data • Labeled video segments according to rubric and guidelines • Conducted preprocessing and dataset preparation tasks • Verified annotation consistency for high accuracy outcomes

2023 - Present

AI Data Specialist (Freelance Remote) — Independent AI Projects / Remote (2023 – Present)

OtherTextClassification

Performed data annotation, tagging, and labeling for text datasets supporting machine learning training. Conducted pairwise comparisons and analyzed AI-generated outputs for relevance, accuracy, safety, and guideline compliance. Coordinated with distributed teams to improve dataset quality and model training effectiveness. • Annotated and tagged text examples across multiple projects • Performed rubric-based comparative evaluation of AI responses • Categorized outputs to flag quality, safety, and alignment issues • Sustained consistent labeling accuracy across large batches

2023 - Present

AI Model Evaluator — Remote Contract Work (2022 – 2023)

OtherText

Evaluated AI-generated text outputs for relevance, coherence, and safety in accordance with structured rubrics. Performed comparative analysis of model responses to identify quality issues and potential bias. Provided feedback intended to refine large language model training datasets and improve downstream performance. • Scored and rated responses using rubric criteria • Conducted bias and hallucination detection • Analyzed safety and quality risks in outputs • Submitted feedback to support dataset refinement

2022 - 2023

Education