Anna G.

Key Skills

Software

Data Annotation Tech

Internal/Proprietary Tooling

Top Subject Matter

Healthcare - Medical Imaging and Clinical Data

Clinical Research - Compliance and Quality Assurance

Academic Research - Oncology and Bioinformatics

Top Data Types

Text

Medical Dicom

Top Task Types

RLHF

Question Answering

Evaluation/Rating

Segmentation

Classification

Freelancer Overview

I am a bilingual (English/Polish) scientific and analytical professional with over 20 years of combined professional and academic research experience across healthcare technology, clinical research, bioinformatics, regulatory compliance, quality assurance, and operational delivery within regulated environments. I hold a DPhil (PhD) in Clinical Medicine from the University of Oxford, as well as BSc and MSc degrees in Biotechnology, and have contributed to multiple high-impact peer-reviewed scientific publications and collaborative clinical research projects. My professional experience includes quantitative medical imaging analysis, MRI DICOM review and segmentation workflows, clinical data management, bioinformatics analysis using R, validation and adjudication workflows, discrepancy investigation, trend analysis, and quality review activities requiring strong analytical judgement, consistency, accuracy, and attention to detail. This has included independent review and validation of analytical outputs, as well as assessment of contributor work for quality, consistency, and guideline adherence across nuanced scientific and language-based tasks. More recently, I have started working on AI training and RLHF evaluation projects involving comparative assessment and quality review of AI-generated responses for accuracy, reasoning quality, clarity, and adherence to detailed evaluation guidelines.

Labeling Experience

Bilingual AI Response Evaluation, RLHF & Quality Review

TextRLHF

Worked on bilingual (English/Polish) AI training and RLHF evaluation tasks involving comparative assessment, testing, rating, validation, and quality review of AI-generated responses. Work included, amongst others, evaluating outputs for relevance, clarity, factual consistency, reasoning quality, localization, instruction adherence, and overall response quality using detailed project guidelines, as well as developing challenging prompts designed to test model limitations and failure cases. Tasks required consistent application of evaluation criteria across nuanced language and reasoning scenarios, careful interpretation of complex instructions, and strong analytical judgement, accuracy, consistency, and attention to detail. Experience also included identifying inconsistencies, ambiguities, and other quality issues within AI-generated content and contributor evaluations, assessing evaluation reliability, and ensuring annotation standards and project guidelines were applied consistently across language-based tasks.

2025 - Present

Medical Imaging Analysis, QC & Segmentation

Medical DicomSegmentation

Worked with MRI DICOM datasets within regulated clinical research and healthcare service environments using proprietary medical imaging software for quantitative image analysis, ROI annotation, segmentation workflows, and quality control activities. Responsibilities included review and validation of analytical outputs, discrepancy investigation, issue tracking, and independent adjudication of analysis results prior to customer release. The role required strong analytical judgement, consistency, accuracy, attention to detail, pattern recognition, and applied anatomical knowledge when reviewing complex imaging data and ensuring adherence to defined quality and operational standards.

2017 - 2023

Education

Work History