Annotate and categorize large image and data datasets for machine learning model training. Follow detailed labeling guidelines, perform quality-control checks, collaborate with stakeholders, and improve annotation workflows to increase accuracy and efficiency. The role requires sustained attention to detail during repetitive, high-volume work and is fully onsite in Santa Ana, California.

Build and deploy quantitative models forecasting collectible market dynamics, asset valuations, pricing trends, demand, and capacity. Use proprietary transaction and grading data, supervised machine learning, time-series forecasting, backtesting, experimentation, and feature engineering. Partner with Engineering, Product, Finance, Operations, and domain experts to productionize reliable models with monitoring, explainability, and feedback loops. Deliver insights supporting pricing, product, go-to-market, grading, authentication, and business planning.

Build and deploy production machine learning systems across computer vision, multimodal modeling, structured data, and agentic AI. Own projects from problem definition through monitoring, develop data and evaluation pipelines, establish feedback loops, and translate experiments into practical technical recommendations. Collaborate with product, engineering, operations, annotation teams, and domain experts while delivering maintainable code, documentation, and scalable ML solutions.