Stephanie D.

Key Skills

Software

Don't disclose

Other

Mercor

Data Annotation Tech

Top Subject Matter

Learning science

Literacy Domain Expertise

socio-emotional learning (SEL)

Top Data Types

Text

Document

Top Task Types

Classification

Text Summarization

Text Generation

Data Collection

Freelancer Overview

Strategic Advisor & Educational Technology Consultant (AI product strategy, workflow/dataset validation, governance & in. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include learning science, data sciences, AI Evaluation, and educational technology. Education includes Doctor of Philosophy, Florida State University (2012) and Master of Science, Florida State University (2010). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Strategic Advisor & Educational Technology Consultant (AI product strategy, workflow/dataset validation, governance & instrument design)

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Provided AI product strategy and established end-to-end educational workflow validation for LLM outputs. Ensured that generated educational content and assessment parameters align with established developmental standards and grade-level appropriateness. • Designed lesson generation logic and assessment parameters for educational workflow validation • Audited/validated outputs for alignment with developmental standards and Lexile/scaffolding expectations • Built research efficacy frameworks for AI-powered SEL & literacy tools • Co-created governance and instrument design requirements with partner organizations.

2025 - Present

Associate Director, The Readability Consortium, University of Central Florida (LLM evaluation & benchmarking)

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Directed LLM evaluation work to assess model performance on complex readability and text comprehension tasks. Established benchmarking protocols tied to grade-level appropriate linguistic complexity and adolescent literacy metrics. • Defined evaluation frameworks and benchmarking protocols for LLM outputs • Measured readability, comprehension, and grade-level linguistic complexity • Validated model performance against literacy and pedagogical metrics • Communicated evaluation results via briefs/playbooks to technical and non-technical stakeholders.

2021 - 2025

Project Director & Associate Scientist, UC Irvine & Arizona State University (assessment/scaffolding evaluation & dataset QA)

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Led national scaling of a digital learning platform and supervised assessment and scaffolding aligned to state and national standards. Managed evaluation and quality assurance activities to verify dataset accuracy and identify operational bottlenecks affecting educational AI outputs. • Oversaw structured algorithmic scaffolding and high-stakes digital reading assessments • Conducted human-computer interaction evaluation to assess educational system performance • Verified dataset accuracy and resolved quality issues impacting model/evaluation outputs • Coordinated expert sessions and focus groups to support data-driven technology development.

2012 - 2021

Education

Work History