- Data innovation: Land & Carbon Lab partners with leading scientists and technologists to harness the power of artificial intelligence and geospatial monitoring to build cutting edge, open access monitoring systems for the world s land and its nature-based carbon. By synthesizing troves of satellite data, we ll provide decision makers with actionable information and insights to restore degraded landscapes, protect forests and nature, and produce land-intensive commodities more sustainably.
- Insights and analysis: We analyze geospatial data to generate independent insights about the changing state of the world s land, and how more sustainable landscapes can help us achieve this decade s climate, nature and sustainable development goals.
- Impact and partnerships: We re partnering with diverse organizations to create real world impact, from corporate leaders and policymakers to Indigenous Peoples and local communities.
What will you do:
Data analysis, visualization, and innovation with AI tools (65%):
- Analyze maps, satellite imagery, and other quantitative data to identify findings and insights relevant to key audiences
- Develop compelling visualizations, including maps, graphs, and gifs, interpreting geospatial data and findings for use in social media and other communications channels
- Help explore possibilities for using AI to automate data analysis, with the goal of producing a regular cadence of visual insights for social media
Research engagement to develop editorial content (35%):
- Engage with LCL research leads, such as through interviews and literature reviews, to turn their insights into compelling written and visual communications.
- Draft blogs, news articles, and other public-facing written content that communicates insights to non-technical audiences around data innovations, methodologies, and research findings
- Support editorial strategist and communications manager in identifying other opportunities to communicate around Land & Carbon Lab s data innovation and analyses
What will you need:
- Education: You have completed a bachelor s degree (preferably a M.S. or PhD) in a related including remote sensing, geography, environmental science, landscape ecology and related fields
- Experience: You have a minimum of 7 years of professional experience writing code for geospatial visuals and applications
- Experience in visually interpreting satellite and geospatial data to come to conclusions about landscape dynamics
- Experience working with subject matter experts and data scientists
- Experience delivering quality drafts and deliverables promptly
- Demonstrated ability creating data visualization and compelling maps
- Experience writing blogs, news, or other long-form written communications on science/technical topics
- Ability to produce compelling maps and other visualizations based on GIS/remote sensing data using GIS and data visualization technology
- Ability to interpret and draw insights from quantitative data, maps, and satellite imagery.
- Ability to work with large language models, advanced prompt engineering and generative AI APIs
- Excellent writing skills with the ability to produce drafts of blogs, news articles, and other written content that translate technical information for non-technical audiences and follow science communications best practices.
- Knowledge in at least one of the following areas, and strong interest and ability to learn about others: land cover and land use change dynamics, cropland and pastureland dynamics, forest change dynamics, land- and forest-based GHG dynamics, agricultural commodity supply chains.
- Familiarity with social media platforms
- Employs collaborative and consultative approaches to research and content development
- Curiosity, creativity, strong listening skills, and strong interest to gain expertise in topics related to ecosystem conservation and land and carbon monitoring.
- Languages : English required. Expertise in other languages including French, Spanish, Portuguese or Bahasa Indonesian is desirable but not required
- Requirements: Existing work authorization is required where this position is based. WRI is unable to authorize visa work authorization
