Medical AI Data Annotation and RLHF Contributor
RLHF
Engaged in medical AI data annotation and algorithmic ground-truth validation as part of clinical and academic duties. Participated in RLHF (Reinforcement Learning from Human Feedback) for training medical large language models and improving diagnostic accuracy. Leveraged domain knowledge in neuroradiology and head & neck imaging for specialized annotation tasks.
• Focused on volumetric image data involving MRI and CT scans.
• Tasks included validation and correction of AI-generated diagnostic suggestions.
• Contributed expertise in neuro-oncology imaging annotation.
• Utilized internal/proprietary tooling for ground-truth curation.
Engaged in medical AI data annotation and algorithmic ground-truth validation as part of clinical and academic duties. Participated in RLHF (Reinforcement Learning from Human Feedback) for training medical large language models and improving diagnostic accuracy. Leveraged domain knowledge in neuroradiology and head & neck imaging for specialized annotation tasks. • Focused on volumetric image data involving MRI and CT scans. • Tasks included validation and correction of AI-generated diagnostic suggestions. • Contributed expertise in neuro-oncology imaging annotation. • Utilized internal/proprietary tooling for ground-truth curation.
Not specified