Kristen B.

Key Skills

Software

Other

Top Subject Matter

Financial compliance

Instructional Design

Technology

Top Data Types

Text

Document

Video

Top Task Types

Prompt + Response Writing (SFT)

Classification

Action Recognition

Freelancer Overview

I'm a qualitative researcher and instructional designer with 15+ years of applied experience in data annotation through qualitative research projects. I know how to transform raw data into structured, easy-to-understand results that can be used across disciplines. I have advanced degrees in public health, adult education, and instructional design. More specifically, my relevant experience includes: • Video Annotation & Temporal Labeling: coded video data of depressed moms with their babies/ toddlers for 20s intervals; required me to 1. identify predetermined behaviors (from codebook), and 2. rate that behavior. We resolved discrepancies via consensus. • Inter-rater Reliability & Consensus: I'm adept at managing "double-coding" workflows to ensure data consistency (e.g., resolving differences in independent video codes via review and consensus. • NLP & Semantic Classification: extensive experience coding interviews, focus groups, roundtables, emails and other transcripts for sentiment, intent, and cultural nuance (e.g., identifying specific sarcasm and humor as coping mechanisms of a marginalized Eastern NC community.) This is a nuance that AI tools might misinterpret. • Data Integrity in High-Stakes Environments: maintaining strict protocol adherence and data privacy (HIPAA/GCP) in complex and highly sensitive environments (e.g., managing data and regulatory processes for oncology clinical trials). • Codebook & Taxonomy Development: many years of experience creating the "rules" (SOPs and codebooks) that guide how data should be categorized for non-profit, government-funded, and corporate projects.

Labeling Experience

Instructional & Learning Experience Designer (Lenovo)

TextClassification

Conducted thematic coding and annotation of stakeholder and trainer roundtable transcripts to distill priorities, training challenges, and performance gaps. Created and applied taxonomies to align qualitative insights with corporate KPIs. Ensured high accuracy in labeling through collaborative consensus-building methods. • Thematic analysis focused on unstructured meeting and interview transcripts. • Developed and applied categorical labels based on emerging themes. • Maintained consistency and accuracy using inter-rater reliability protocols. • Used structured taxonomies to guide data annotation.

2022 - 2023

Research Associate (HERMES LLC)

TextClassification

Analyzed qualitative data for public health projects by thematically coding interview and focus group transcripts. Developed and enforced codebooks and SOPs to standardize team annotation processes. Conducted usability testing and content analysis to refine data collection tools and improve labeling efficiency. • Labeled unstructured text data for health-related themes and patterns. • Created comprehensive codebooks for consistent multi-site analysis. • Collaborated on public health projects for government clients. • Enhanced data quality through process refinement and team training.

2020 - 2022

Research Assistant (UNC School of Nursing)

VideoAction Recognition

Performed high-volume video coding for a longitudinal behavioral study focused on mother-child interactions. Utilized set behavioral parameters to categorize observed actions and interactions. Double-coded each video to maintain high inter-rater reliability, resolving discrepancies by consensus. • Labeled video clips for specific behavioral and emotional interactions. • Used coding manuals and behavioral frameworks to ensure accurate annotation. • Contributed to a dataset ensuring over 95% coder agreement across samples. • Participated in rigorous quality assurance processes with team members.

2018 - 2020

Education

Work History