Map Annotation Specialist for Annotation and Labeling, Enterprise AI

Project & Program Management

• Define project scope and manage timelines for annotation initiatives with input from product and engineering stakeholders.
• Coordinate efforts across internal teams and external vendors across global time zones.
• Standardize communication processes and provide regular updates on risks, status, and progress.
• Proactively identify project risks and blockers, escalating and resolving issues through cross-functional collaboration.
• Manage contracts and ensure vendor SLAs and operational KPIs are consistently met.

Annotation Quality Assurance & Workflow Development

• Design and maintain labeling workflows for 2D/3D annotation tasks, including HD maps and specialized experimental features.
• Serve as the quality lead for annotation work, performing QA reviews, peer audits, and in-vehicle validation assessments.
• Collaborate with engineering and ML teams to troubleshoot bugs, improve tooling (e.g., map editors), and implement quality improvements.
• Provide timely and actionable QA feedback to vendors and internal teams.
• Perform direct annotation on complex or time-sensitive features as needed.

Training, Documentation & Vendor Enablement

• Create and manage scalable training materials for both internal team members and external vendors.
• Lead onboarding, documentation, and training efforts to ensure consistency, accuracy, and ramp-up efficiency.
• Maintain and improve Confluence knowledge bases, documentation standards, and instructional templates.
• Mentor junior team members and co-leads on best practices for training, vendor relationships, and documentation quality.

Cross-functional Support & Process Improvement

• Partner with engineering, product, and ML teams to define future labeling requirements and tooling needs.
• Conduct industry and product research to support annotation design, validation checks, and future feature scoping.
• Lead retrospectives and documentation review sessions to improve workflows and maintain operational excellence.
• Contribute to roadmap planning through operational input, tooling feedback, and annotation capacity estimates.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent work experience.
• 4+ years in map annotation, data labeling, QA, or project/operations management.
• Experience managing vendor teams, defining QA standards, and executing training programs.
• Strong written and verbal communication skills across technical and non-technical stakeholders.
• Familiarity with 2D/3D annotation tools, GIS systems, or autonomous vehicle mapping.
• Experience with JIRA, Confluence, and cloud collaboration tools.
• Bonus: working knowledge of Python, SQL, git, and AWS environments.