Nolan H.

Key Skills

Software

Labelbox

Scale AI

Other

Top Subject Matter

Medical and biomedical (clinical/diagnostic content)

Clinical reasoning

biomedical interpretation

Top Data Types

Text

Video

Document

Top Task Types

Classification

Fine-tuning

Freelancer Overview

AI Data Annotator, Remotasks (Jan 2021 - Dec 2022). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Scale AI, and Other. Education includes Bachelor of Science, Ohio University (2021). AI-training focus includes data types such as Text and labeling workflows including Classification, Fine-tuning, and Evaluation.

Labeling Experience

Prompt Evaluator, Outlier Remote (Jan 2023 - Present)

OtherText

Evaluated AI-generated responses to complex medical and scientific prompts, assessing clinical accuracy, reasoning quality, and alignment with evidence-based standards. Developed and reviewed challenging domain-specific questions across pharmacology, anatomy, infectious disease, and public health. Tagged and categorized clinical content by specialty and subcategory to support routing for quality review, while providing structured feedback to guide iterative model improvements. • Assessed clinical accuracy and reasoning quality of model outputs • Authored/reviewed domain-specific medical and scientific questions • Tagged and categorized content for expert review routing • Wrote structured feedback identifying factual and reasoning gaps

2023 - Present

AI Training Specialist, Outlier Remote (Jan 2022 - Dec 2023)

OtherTextFine-tuning

Designed high-difficulty training prompts across medical and biomedical domains to improve LLM performance on clinical reasoning and scientific interpretation tasks. Annotated and ranked AI-generated healthcare content using structured rubrics to ensure clinical accuracy and safety standards. Analyzed visual and textual medical information (e.g., clinical images, lab reports, diagnostic data) to provide expert-level annotations and explanations and documented systematic model errors for refinement. • Built high-difficulty clinical training prompts • Annotated and ranked AI outputs with rubrics • Provided expert annotations for clinical images and lab/diagnostic data • Identified systematic errors and authored reports for model improvement

2022 - 2023

AI Data Annotator, Remotasks (Jan 2021 - Dec 2022)

LabelboxTextClassification

Annotated diverse medical and scientific datasets including images, text, and video content across annotation platforms, applying clinical knowledge to interpret and label biomedical visual content according to strict task guidelines and quality benchmarks. Maintained high accuracy and inter-annotator agreement scores while managing a fully remote annotation workload. Ensured consistent delivery of assigned tasks with minimal supervision throughout the project period. • Labeled biomedical visual content with precision • Followed strict guidelines and quality benchmarks • Achieved high accuracy and inter-annotator agreement • Managed remote annotation workload and deadlines

2021 - 2022

Education

Work History