Samantha S.

Key Skills

Software

Don't disclose

Top Subject Matter

Generative AI/LLM evaluation and content accuracy

Healthcare research datasets and clinical study content

Legal research datasets and case law annotations

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

LLM AI Data Annotation Specialist (Freelance). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose. Education includes Bachelor of Science, The Ohio State University (2022). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

LLM AI Data Annotation Specialist (Freelance)

Don't discloseText

Performed structured reviews of AI-generated responses to detect inaccuracies and inconsistencies. Designed prompts and tested LLM behavior to verify alignment with user intent and context. Delivered structured feedback to improve model performance across multiple domains and topic areas. • Fact-checking and intent verification of AI outputs • Prompt design and iterative testing for alignment • Accuracy validation using web research • Providing structured feedback for model refinement

2022 - Present

Nationwide Children's Hospital - Research & Content Associate

Don't discloseClassification

Supported pediatric research teams by entering, verifying, and annotating clinical study datasets for healthcare AI pilot projects. Ensured dataset accuracy and compliance by fact-checking medical research materials. Helped prepare structured content intended for use in healthcare-focused AI workflows. • Data entry, verification, and annotation for clinical studies • Fact-checking medical research datasets for accuracy • Ensuring compliance with applicable guidelines • Assisting with structured content preparation for AI pilots

2020 - 2022

LexisNexis Legal & Professional - Intern

Don't discloseText

Contributed to data categorization and indexing for AI-driven legal research platforms. Annotated case law datasets to ensure accuracy and relevance for AI training use. Built early experience applying AI concepts to law and compliance data workflows. • Data categorization and indexing for AI research • Case law dataset annotation for training readiness • Ensuring labeled data relevance and accuracy • Exposure to AI applications in legal compliance

2019 - 2019

Education

Work History