Climate Data Specialist
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Climate Data Specialist role involves leveraging expertise in climate science, ecology, or environmental modeling to develop and train AI models addressing significant environmental challenges. This fully remote contract position allows for flexible hours and is aimed at researchers with advanced degrees who wish to apply their knowledge in impactful ways. Training support is provided, and no prior AI experience is necessary. The role emphasizes collaboration with AI researchers and the creation of scientifically rigorous problem statements.
Key Responsibilities:
- Design, solve, and review advanced environmental science problems with real-world relevance.
- Apply expertise in climate science, ecology, sustainability, or related fields to create complex, scientifically rigorous problem statements.
- Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI model reasoning and accuracy.
- Evaluate AI-generated scientific content for depth, accuracy, and methodological soundness.
- Ensure all deliverables meet high standards of scientific clarity and rigor.
- Work independently on task-based assignments — fully on your own schedule.
Key Skills:
- Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field.
- Proficient in Python or R for research, data analysis, or scientific computing.
- Deep expertise in at least one of: climate modeling, ecology, sustainability, or environmental data analysis.
- Exceptional written communication skills to articulate complex scientific concepts with precision and clarity.
- Detail-oriented, methodical, and committed to scientific accuracy.
- Fluent in English.
- Prior experience with data annotation, data quality, or AI evaluation workflows (nice to have).
- Background in interdisciplinary environmental research spanning multiple subject areas (nice to have).
- Familiarity with large-scale environmental datasets or geospatial analysis tools (nice to have).
- Experience reviewing or publishing peer-reviewed scientific work (nice to have).
Salary (Rate): £75.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Climate Data Specialist (AI Training)
About The Role
What if your expertise in climate science, ecology, or environmental modeling could directly shape how AI understands and reasons about the planet's most pressing challenges? We're looking for Climate Data Specialists — environmental scientists with advanced degrees — to help build and train cutting-edge AI models by developing rigorous, real-world scientific problems. This is a fully remote, flexible contract role designed for researchers and practitioners who want to put their deep domain knowledge to work in a new and impactful way. Training support is provided — no prior AI experience needed.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design, solve, and review advanced environmental science problems with real-world relevance — from climate modeling to ecological systems
- Apply your expertise in climate science, ecology, sustainability, or related fields to create complex, scientifically rigorous problem statements
- Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI model reasoning and accuracy
- Evaluate AI-generated scientific content for depth, accuracy, and methodological soundness
- Ensure all deliverables meet high standards of scientific clarity and rigor
- Work independently on task-based assignments — fully on your own schedule
Who You Are
- Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
- Proficient in Python or R for research, data analysis, or scientific computing
- Deep expertise in at least one of: climate modeling, ecology, sustainability, or environmental data analysis
- Exceptional written communicator — able to articulate complex scientific concepts with precision and clarity
- Detail-oriented, methodical, and committed to scientific accuracy
- Fluent in English
Nice to Have
- Prior experience with data annotation, data quality, or AI evaluation workflows
- Background in interdisciplinary environmental research spanning multiple subject areas
- Familiarity with large-scale environmental datasets or geospatial analysis tools
- Experience reviewing or publishing peer-reviewed scientific work
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Apply your scientific expertise to a domain that directly shapes how AI understands the natural world
- Potential for ongoing work and contract extension as new projects launch