Climate Data Specialist

Climate Data Specialist (AI Training)
About The Role
What if your years of environmental science expertise could directly shape how AI understands our planet's most complex systems — from shifting climate patterns to fragile ecosystems? We're looking for Climate Data Specialists with advanced degrees to develop and evaluate sophisticated problems in climate modeling, ecology, and sustainability that train the next generation of AI models.
This is a fully remote, flexible contract role built for working researchers and environmental scientists. If you have deep domain knowledge and a passion for rigorous science, this is a rare opportunity to apply it at the frontier of AI development.
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 and scientific depth
Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to create complex, meaningful problem sets
Evaluate AI-generated responses for scientific accuracy, rigor, and clarity
Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI reasoning in environmental science
Ensure all deliverables meet high standards of scientific integrity and precision
Work independently on task-based assignments — fully on your own schedule
Who You Are
Holds a Master's or PhD in Environmental Science, Atmospheric Science, Ecology, Earth Systems, or a closely related field
Strong hands-on experience with Python or R for research, data analysis, or modelling
Deep expertise in at least one of: climate modeling, ecology, sustainability science, or environmental data analysis
Exceptional written communication skills — you can explain complex science with clarity and precision
Naturally detail-oriented, rigorous, and self-motivated when working independently
Fluent in English
Nice to Have
Prior experience with data annotation, data quality assessment, or AI evaluation workflows
Familiarity with large environmental datasets (e.g., ERA5, CMIP6, remote sensing data)
Background in science communication, academic writing, or peer review
Experience working across interdisciplinary teams or in research collaboration settings
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
Make a direct, tangible impact on how AI understands and reasons about climate and the environment
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No