Presentation
Multimodal Data Collection: Capturing high-quality egocentric (POV) video and audio datasets for robotics and computer vision training.
Data Annotation & Labeling: Expert execution of bounding boxes, polygons, semantic segmentation, and key-point mapping.
LLM Training & RLHF: Providing human feedback, ranking model responses, and conducting prompt engineering to refine Large Language Models.
Data Quality Assurance: Auditing existing datasets for accuracy, identifying edge cases, and ensuring strict privacy/PII compliance.
Task Simulation: Performing and documenting complex real-world tasks (household, technical, or administrative) for embodied AI learning.
Technical Competencies:
Hardware: 4K/60FPS recording equipment with wide-angle capabilities.
Software: Proficient in industry-standard annotation platforms and data management tools.
Quality: Focused on delivering high-integrity "ground truth" data.

