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Job summary
A leading company in landscape management is seeking an experienced individual to curate and manage datasets for AI training. The role involves collaborating with data scientists, identifying data gaps, and developing best practices. Ideal candidates should have a background in landscape management, strong communication skills, and the ability to work in a remote environment. This position offers opportunities for creative problem-solving and working on evolving projects.
Qualifications
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.
Proficiency with digital collaboration and project management tools.
Strong analytical mindset with attention to detail.
Ability to work independently in a remote environment.
Creative problem-solving skills and adaptability.
Responsibilities
Curate and manage landscape-related datasets.
Collaborate with data scientists and AI engineers.
Identify data gaps and implement improvements.
Develop best practices for data annotation and simulation.
Analyze AI model outputs for alignment with real-world principles.
Lead remote discussions and workshops.
Stay updated on landscape management trends.
Skills
Landscape management experience
Understanding of AI concepts
Communication skills
Proficiency with collaboration tools
Analytical mindset
Creative problem-solving
Job description
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.