Forest C.

Key Skills

Software

Other

Top Subject Matter

Biomedical AI training and medical/figure annotation QA (cardiology, oncology, pathology, immunofluorescence, fibrosis and inflammation phenotypes)

Scientific annotation support and QA for experimental datasets (protein-based dysphagia diet research)

Top Data Types

Image

Text

Top Task Types

Segmentation

Classification

Entity (NER) Classification

Text Generation

Question Answering

Text Summarization

Freelancer Overview

Biomedical Research Data Annotation & QA (AI evaluation and biomedical labeling quality checks). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, Southern Medical University (2026) and Bachelor of Engineering, Shaanxi University of Science & Technology (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Biomedical Research Data Annotation & QA (AI evaluation and biomedical labeling quality checks)

Image

Provide biomedical AI response evaluation for biomedical accuracy, terminology, evidence alignment, and safety. Perform QA on multimodal medical research figures and images to verify label adherence, consistency, and region/signal selection correctness. Rewrite or escalate weak or overconfident outputs to reduce hallucination and ensure guideline-aligned claims. • Evaluated AI-like answers for biomedical logic, internal consistency, hallucination risk, unsafe medical advice, and inappropriate certainty. • Compared multiple model responses and selected preferred outputs based on correctness, completeness, clarity, and instruction-following. • Checked microscopy/pathology-style images for label consistency including region selection, positive/negative signal judgment, and co-localization interpretation. • Created bilingual, evidence-aligned summaries and flagged claims needing citations or escalation to experts.

2023 - Present

3D Printed Protein-Based Dysphagia Diet Research (annotation/QA for scientific reporting)

OtherText

Support biomedical and food-research data organization and quality checking for figure preparation and annotation readiness. Apply consistent labeling notes and document quality checks during data processing and review for downstream reporting. Contribute to structured summaries that require correct terminology and visual/statistical QA. • Process and interpret rheology, spectroscopy, and microscopy datasets for research outputs with repeatable QA steps. • Perform data organization and visual quality checks prior to figure preparation and manuscript writing. • Support annotation notes and consistent terminology across experimental reports. • Assist with statistical analysis and batch-style verification for reliable downstream presentation.

2021 - 2023

Education

Work History