Geospatial Analyst for AI Model Training Job at SaidGig, Remote

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  • SaidGig
  • Remote

Job Description

As a Geospatial Analysis Specialist, you will leverage your expertise to contribute to the training of next-generation AI systems. Your role is pivotal in shaping how AI models learn and perform by providing high-quality, real-world geospatial input. Key Responsibilities

  • Design, manage, and maintain spatial databases, ensuring data integrity and accuracy across various projects.
  • Conduct advanced geoprocessing and spatial modeling using QGIS, integrating results into actionable insights.
  • Develop, customize, and maintain QGIS plugins and extensions tailored to specific project requirements.
  • Automate geospatial analysis workflows using Python (PyQGIS) to enhance efficiency and reproducibility.
  • Prepare high-quality cartographic maps and visualizations for reports, presentations, and decision support.
  • Collaborate with cross-functional team members to understand requirements and translate them into effective geospatial solutions.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders in written and verbal formats.
Qualifications
  • Expertise in QGIS, including spatial database management, geoprocessing, and map production.
  • Strong proficiency in Python, with practical experience in automating tasks within QGIS (PyQGIS).
  • Thorough understanding of spatial projections, coordinate systems, and data transformation.
  • Proven ability to customize QGIS through plugin development or scripting.
  • Exceptional written and verbal communication skills for diverse audiences.
  • Demonstrated ability to produce professional cartographic outputs for various decision-making contexts.
  • Strong organizational skills and attention to detail while managing multiple project priorities.
Work Terms

Contract position, fully remote.

Compensation

$30 - $80 per hour.

Eligibility

No prior experience in AI is required; your domain knowledge is what matters.

Preferred qualifications include experience working in remote or distributed teams and familiarity with additional open-source GIS tools or cloud-based geospatial platforms.

A background in spatial analysis within industries such as environmental science, urban planning, or resource management is also advantageous.

Job Tags

Remote job, Hourly pay, Contract work

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