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
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