Landscape Manager

Job Title: Landscape Manager

Job Type: Permanent

Location: Remote

Job Summary:

Join our customer’s team as a Landscape Manager - Ai training and play a vital role enabling AI systems to understand, interpret, and replicate the intricacies of landscape management. In this role, you'll bridge traditional landscape expertise with cutting-edge AI development, ensuring datasets and training scenarios are robust, accurate, and reflective of real-world challenges. We value clear communication, innovation, and a passion for bringing landscape management into the AI era.

Key Responsibilities:

• Oversee and curate landscape datasets for AI training, ensuring data integrity and relevance

• Collaborate closely with data scientists and AI engineers to design landscape scenarios for machine learning purposes

• Identify and address data gaps, inconsistencies, and potential biases within landscape-related datasets

• Develop and document best practices for data annotation, scenario simulation, and landscape management standards

• Lead remote workshops and communicate findings, updates, and needs with team members and stakeholders

• Analyze AI model outputs to ensure appropriate reflection of landscape management principles

• Stay informed about industry trends in landscape management and AI integration

Required Skills and Qualifications:

• Demonstrated experience in landscape management or a closely related field

• Strong understanding of AI concepts, data annotation, and machine learning workflows

• Excellent written and verbal communication skills; comfortable presenting complex concepts is essential

• Proficiency in digital tools for remote collaboration and project management

• Detail-oriented approach with a passion for quality data and process improvement

• Ability to work independently and as part of a dynamic, cross-functional team

• Creative problem-solving skills and adaptability in a fast-evolving technological environment

Preferred Qualifications:

• Previous experience contributing to AI training projects involving environmental or landscape data

• Familiarity with data privacy, ethics, and regulatory standards within the AI and environmental sectors

• Advanced technical skills in data analysis, GIS, or related platforms