- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 5小时前
- 工作模式
- 在家办公
- 合格
- Applicants with strong geospatial expertise are suitable for this role. Prior AI experience is not required, and candidates with experience in environmental science, urban planning, resource management, remote collaboration, or customer-facing geospatial work may be especially well matched.
- 恢复
- 需要申请
职位描述
Role Overview
This contract position is fully remote and focuses on applying geospatial expertise to support the development of advanced AI systems. The work involves contributing high-quality domain input that helps improve how models learn, reason, and perform. Previous AI experience is not necessary; deep knowledge of geospatial work is the key requirement.
Core Responsibilities
- Build, organize, and upkeep spatial databases while preserving data accuracy and consistency across assignments.
- Carry out advanced geoprocessing and spatial modeling in QGIS, then translate findings into practical recommendations.
- Create, adapt, and support QGIS plugins and extensions based on project needs.
- Use Python, including PyQGIS, to automate geospatial workflows and make analysis more efficient and repeatable.
- Produce polished maps and visual outputs for reports, presentations, and decision-making support.
- Work closely with cross-functional stakeholders to interpret requirements and convert them into geospatial solutions.
- Explain technical geospatial concepts clearly in both written and spoken communication for technical and non-technical audiences.
Required Qualifications
- Strong hands-on experience with QGIS, including spatial database handling, geoprocessing, and map creation.
- Proficiency in Python with practical use of PyQGIS for workflow automation.
- Solid understanding of coordinate reference systems, projections, and spatial data transformation.
- Experience customizing QGIS through scripting or plugin development.
- Excellent communication skills for presenting technical information to varied audiences.
- Ability to create professional cartographic deliverables suited to different decision-making contexts.
- Strong organization and attention to detail when juggling multiple priorities.
Preferred Background
Additional value is given to candidates who have worked in distributed teams, supported external customers remotely, used other open-source GIS tools or cloud geospatial platforms, or applied spatial analysis in fields such as environmental science, urban planning, or resource management.