We Love AI JobsLandscape & GIS Data Analyst | Remote
Crossing HurdlesAs a Landscape & GIS Data Analyst at Crossing Hurdles, you'll manage and curate datasets crucial for AI training within a remote, flexible work environment. Collaborating with data scientists and engineers, you'll influence landscape management practices and contribute to innovative AI solutions while working independently on exciting projects.
Skills & Expertise
Key Responsibilities
Curate and manage landscape-related datasets for AI training and quality assurance.
Collaborate with data scientists to design realistic landscape management scenarios.
Identify data gaps and implement improvements for dataset accuracy.
Full Description
Position: Landscape Manager
Type: Hourly contract
Compensation: $20–$50/hour
Location: Remote
Commitment: 10–40 hours/week
Role 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.
Application Process (Takes 20 Min)
* Upload resume
* Interview (15 min)
* Submit form