Landscape & GIS Data Analyst | Remote
• *Position:**
Landscape Manager (AI Training)
• *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
Landscape Manager (AI Training)
• *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