Atmospheric Science Expert (Masters/PhDs)

Atmospheric Science Expert (AI Training)
About The Role
What if your deep knowledge of atmospheric science could directly shape how AI understands and reasons about our planet's most complex systems? We're looking for atmospheric science experts to help build and train cutting-edge AI models — creating challenging problems, crafting rigorous solutions, and pushing the boundaries of what AI can understand about climate, weather, and Earth's atmosphere.
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
Develop, solve, and critically review advanced atmospheric science problems with real-world scientific relevance
Apply your expertise in climate modeling, meteorology, ecology, or sustainability to design complex, nuanced problem statements
Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning in your field
Evaluate the scientific accuracy, rigor, and clarity of AI-generated content across atmospheric and environmental topics
Ensure all deliverables meet a high standard of scientific depth and precision
Work independently on task-based assignments fully on your own schedule
Who You Are
Master's or PhD in Atmospheric Science, Climate Science, Meteorology, Environmental Science, or a closely related field
Experienced researcher with hands-on knowledge of climate modeling, atmospheric dynamics, or related specializations
Comfortable coding in Python or R — whether for data analysis, modeling, or research workflows
Naturally rigorous and detail-oriented — you hold your work to a high scientific standard
Clear and confident written communicator who can explain complex concepts precisely
Fluent in English
Nice to Have
Experience in data annotation, data quality assurance, or AI evaluation workflows
Familiarity with ecological modeling, sustainability research, or earth system science
Background in reviewing or writing scientific literature
Prior work with large datasets or geospatial analysis tools
Why Join Us
Work on cutting-edge AI projects alongside leading AI research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually engaging work
Apply your scientific expertise to a domain that's shaping the future of AI reasoning
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes