Landscape Supervisor

Responsibilities

• Curate and manage landscape-related datasets to support AI training and ensure data quality.
• Collaborate with data scientists and AI engineers to design realistic landscape management scenarios.
• Identify data gaps, inconsistencies, and biases within datasets and implement improvements.
• Develop and document best practices for data annotation, simulation workflows, and landscape standards.
• Analyze AI model outputs to validate alignment with real-world landscape management principles.
• Lead remote discussions, workshops, and updates with cross-functional teams and stakeholders.
• Stay updated on trends in landscape management and AI integration to improve workflows.

Requirements

• Proven experience in landscape management or a related domain.
• Strong understanding of AI concepts, data annotation, and machine learning workflows.
• Excellent written and verbal communication skills with the ability to explain complex ideas clearly.
• Proficiency with digital collaboration and project management tools.
• Strong analytical mindset with attention to detail and data quality.
• Ability to work independently in a remote, cross-functional environment.
• Creative problem-solving skills and adaptability in evolving projects.