We are seeking an ML Annotation Tools Developer with experience building the infrastructure and interfaces required to manipulate large 2D and 3D media datasets. You will be responsible for the end-to-end tooling ecosystem that enables our annotation teams and external vendors to create high-quality ground truth data for our ML models. 

Responsibilities

• Tooling Development: Lead the development of annotation interfaces, starting with Java and JOSM (Java OpenStreetMap Editor) customizations, and eventually expanding into bespoke Python-based tools and plugins. 
• Geospatial Infrastructure: Build and host secure Map Servers to serve our proprietary data for annotation. You will ensure these servers are performant and integrated into our data pipeline. 
• Spatial Database Management: Design and optimize PostGIS databases to store, query, and version complex geospatial metadata and annotation layers. 
• Security & Vendor Collaboration: Work closely with the Cybersecurity team to ensure that data shared with external annotation vendors is hosted securely, using robust access controls and encrypted delivery methods. 
• Cross-Functional Coordination: Collaborate with ML Engineers and TPMs to translate complex data requirements into intuitive UI/UX features that minimize human error during the annotation process. 
• Process Automation: Develop scripts and workflows in Python to automate data ingestion, quality checks, and the export of annotated datasets into training-ready formats.