Imaging Data Manager

We are seeking a highly technical, detail-oriented Imaging & Data Capture Scientist to support the development of next-generation computer vision datasets and imaging systems. This role focuses on designing and executing high-fidelity image and video capture pipelines using multi-modal sensing technologies, including RGB and infrared (IR) systems. The goal is to generate ultra-precise, high-resolution annotated datasets that significantly improve model training and validation for image matting, segmentation, and foreground estimation. You’ll work at the intersection of imaging hardware, computer vision, and data science—helping define how real-world visual data is captured, structured, and improved at scale. • 1 year contract for now • 40 hours, on-site fully • $85/hr - weekly pay What You’ll Do • Design and set up controlled indoor capture environments for multi-modal imaging experiments • Execute synchronized image and video capture using RGB and IR systems with precise pre-registration • Conduct structured human subject capture sessions, including onboarding and coordination of participants • Capture and manage high-quality video datasets (~2,000 clips) featuring varied pseudo-background conditions • Support dataset creation at multiple resolutions (2K/4K, ~5 fps video targets) • Perform data quality checks, analysis, and reporting across capture pipelines • Define and improve lab processes, including safety standards and imaging quality control • Collaborate with cross-functional engineering and research teams to refine capture methodology What We’re Looking For • Strong hands-on experience with camera systems and imaging hardware • Deep understanding of illumination, optics, and imaging pipelines • Experience with 3A systems (auto exposure, auto white balance, auto focus) • Familiarity with optical aberrations and image quality evaluation • Background in computer vision, image processing, or related fields • Experience building or working with image capture pipelines or data collection systems • Highly detail-oriented with strong experimental discipline and documentation skills • Comfortable working in a lab environment with human-in-the-loop data collection Why This Role Matters This work directly impacts the quality of next-generation computer vision systems. The datasets you help create will enable more accurate segmentation, matting, and scene understanding models—pushing forward what’s possible in visual intelligence.