Live opening · Posted 25 days ago
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About the role
Description supplied by the original job listing.
Atmospheric Science Expert (AI Training)
About The Role
What if your deep knowledge of atmospheric science could directly shape how AI reasons about climate, weather systems, and environmental change? We're looking for Atmospheric Science experts to develop and evaluate advanced scientific problems that train the next generation of AI models — making them more accurate, rigorous, and genuinely useful for the scientific community and beyond.
This is a fully remote, flexible contract role designed for researchers and academics who want to apply their expertise in a high-impact, forward-thinking environment. No prior AI experience needed — your scientific depth is what matters.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design, solve, and review advanced atmospheric science problems with real-world scientific relevance
Apply your expertise in climate modeling, meteorology, ecology, or sustainability to craft complex, rigorous problem statements
Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness
Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model outputs
Ensure scientific rigor, clarity, and precision across all deliverables
Work independently on task-based assignments — fully on your own schedule
Who You Are
Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related field
Experienced with Python or R for research, data analysis, or modeling
Deep expertise in at least one of: climate modeling, atmospheric dynamics, ecology, or sustainability science
Exceptionally clear written communicator who can translate complex science into well-structured problems
Detail-oriented and methodical — you hold yourself to high standards of scientific accuracy
Fluent in English
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training workflows
Background in academic research, peer review, or scientific publishing
Familiarity with AI or machine learning tools as a researcher or end user
Experience designing curricula, problem sets, or research challenges
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, task-based scientific work
Make a direct, tangible impact on how AI understands and reasons about our planet's most pressing environmental challenges
Potential for ongoing work and contract extension as new projects launch
Work arrangement
Yes
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