Stephanie Biegon

Key Skills

Software

Labelbox

Remotasks

Other

Sama

Top Subject Matter

Medical imaging segmentation (brain, tumors, lung nodules, organs)

Video/image annotation for object recognition and medical imaging

Llm Domain Expertise

Top Data Types

Image

Text

Audio

3D Sensor

Document

Top Task Types

Segmentation

Polygon

Prompt + Response Writing (SFT)

Transcription

Cuboid

Freelancer Overview

Medical Imaging Annotation Specialist (3D Slicer). Brings 16+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include 3D Slicer, Labelbox, and Remotasks. Education includes Doctor of Philosophy, University of Lincoln (2022) and Master of Science, University of Lincoln (2022). AI-training focus includes data types such as Medical, DICOM, and Image and labeling workflows including Segmentation, Polygon, and Prompt + Response Writing (SFT).

Labeling Experience

Medical Imaging Annotation Specialist (3D Slicer)

Segmentation

As a Medical Imaging Annotation Specialist, I used 3D Slicer to perform volumetric segmentation and annotation of complex CT/MRI datasets for AI research and model training. My responsibilities included ROI delineation, organ and tumor segmentation, and generating structured labels across multiple anatomical targets. Quality assurance, DICOM de-identification, and data preparation for downstream ML workflows were integral to my duties. • Applied manual and semi-automatic segmentation techniques (thresholding, region growing, Segment Editor) • Computed segmentation metrics and reviewed inter-rater agreement for consensus • Managed DICOM/NIfTI datasets with GDPR/HIPAA-compliance • Prepared training-ready masks in DICOM-SEG, NIfTI, and nnU-Net formats

As a Medical Imaging Annotation Specialist, I used 3D Slicer to perform volumetric segmentation and annotation of complex CT/MRI datasets for AI research and model training. My responsibilities included ROI delineation, organ and tumor segmentation, and generating structured labels across multiple anatomical targets. Quality assurance, DICOM de-identification, and data preparation for downstream ML workflows were integral to my duties. • Applied manual and semi-automatic segmentation techniques (thresholding, region growing, Segment Editor) • Computed segmentation metrics and reviewed inter-rater agreement for consensus • Managed DICOM/NIfTI datasets with GDPR/HIPAA-compliance • Prepared training-ready masks in DICOM-SEG, NIfTI, and nnU-Net formats

2026 - 2026

AI Trainer / Data Labeler – Text & Image QA

RemotasksTextPrompt Response Writing SFT

As an AI Trainer/Data Labeler, I authored high-quality SFT prompt-and-response pairs and conducted image-based QA for diverse technical and reasoning domains. My work involved side-by-side RLHF preference ranking, adversarial red-teaming, and multi-turn dialogue repair for LLM and NLP pipelines. Consistent output volumes, accuracy, and process improvements marked my performance throughout my tenure. • Contributed to evaluation scenario and scoring guideline development • Performed and QA’d NER, text extraction, and generation • Flagged unanswerable or ambiguous tasks for review • Supported peer onboarding and workflow optimization

As an AI Trainer/Data Labeler, I authored high-quality SFT prompt-and-response pairs and conducted image-based QA for diverse technical and reasoning domains. My work involved side-by-side RLHF preference ranking, adversarial red-teaming, and multi-turn dialogue repair for LLM and NLP pipelines. Consistent output volumes, accuracy, and process improvements marked my performance throughout my tenure. • Contributed to evaluation scenario and scoring guideline development • Performed and QA’d NER, text extraction, and generation • Flagged unanswerable or ambiguous tasks for review • Supported peer onboarding and workflow optimization

2021 - 2025

Scientific Visualization (ParaView) & CAD Specialist (Contract)

Other3D SensorSegmentation

For scientific visualization and CAD projects, I annotated and refined 3D mesh-based and volumetric datasets including CT/MRI surfaces, CFD fields, and point clouds using ParaView and CAD tools. Activities included 3D object/structure labeling, visual QA for geometric correctness, and 3D asset preparation for AI research workflows. I ensured model-ready data through measurement rubrics, standard compliance, and multi-format exports. • Conducted 3D mesh/structure annotation and review • Cleaned and processed scientific visualization datasets • Documented acceptance criteria and evaluation rubrics • Supported multi-format asset pipeline for ML training

For scientific visualization and CAD projects, I annotated and refined 3D mesh-based and volumetric datasets including CT/MRI surfaces, CFD fields, and point clouds using ParaView and CAD tools. Activities included 3D object/structure labeling, visual QA for geometric correctness, and 3D asset preparation for AI research workflows. I ensured model-ready data through measurement rubrics, standard compliance, and multi-format exports. • Conducted 3D mesh/structure annotation and review • Cleaned and processed scientific visualization datasets • Documented acceptance criteria and evaluation rubrics • Supported multi-format asset pipeline for ML training

2022 - 2024

Annotation Guideline Author & QA Lead (Contract)

OtherSegmentation

As Annotation Guideline Author & QA Lead, I authored and iterated annotation guidelines and gold-standard tasks for image, text, and multimodal AI data-labeling projects. I designed honeypot and calibration workflows, monitored inter-annotator agreement, and led QA reviews of exported datasets. My role ensured consistency, accuracy, and regulatory compliance for annotation and data release pipelines. • Wrote detailed annotation guidelines and edge-case appendices • Developed gold-standard, honeypot, and calibration tasks • Led dataset validation in JSON, COCO, YOLO, DICOM-SEG formats • Conducted reviewer feedback and targeted retraining

As Annotation Guideline Author & QA Lead, I authored and iterated annotation guidelines and gold-standard tasks for image, text, and multimodal AI data-labeling projects. I designed honeypot and calibration workflows, monitored inter-annotator agreement, and led QA reviews of exported datasets. My role ensured consistency, accuracy, and regulatory compliance for annotation and data release pipelines. • Wrote detailed annotation guidelines and edge-case appendices • Developed gold-standard, honeypot, and calibration tasks • Led dataset validation in JSON, COCO, YOLO, DICOM-SEG formats • Conducted reviewer feedback and targeted retraining

2022 - 2024

AI Data Annotation & LLM Specialist

SamaImageSegmentation

As an AI Data Annotation & LLM Specialist at Sama, I annotated, reviewed, and validated image and text datasets supporting LLM and NLP model development. My work involved 2D/3D masking, prompt-response evaluation, transcription, and semantic labeling across strict project guidelines. I also audited team outputs as a certified Quality Analyst to enforce accuracy and compliance. • Executed 2D and 3D image segmentation tasks • Supported LLM/NLP by evaluating prompt completions • Performed dataset validation and peer auditing • Led team onboarding on annotation standards

As an AI Data Annotation & LLM Specialist at Sama, I annotated, reviewed, and validated image and text datasets supporting LLM and NLP model development. My work involved 2D/3D masking, prompt-response evaluation, transcription, and semantic labeling across strict project guidelines. I also audited team outputs as a certified Quality Analyst to enforce accuracy and compliance. • Executed 2D and 3D image segmentation tasks • Supported LLM/NLP by evaluating prompt completions • Performed dataset validation and peer auditing • Led team onboarding on annotation standards

2021 - 2024

Show more

Education

Work History