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Alignerr

Atmospheric Science Expert (Masters/PhDs)

About this role

About the Role What if your deep knowledge of atmospheric science could directly shape how AI reasons about climate, weather systems, and our planet's most complex environmental challenges? We're looking for Atmospheric Science experts to develop and evaluate advanced scientific problems that train the next generation of AI models — helping them think more rigorously about the natural world. This is a fully remote, flexible contract role designed for researchers and academics who want to put their expertise to work in a meaningful new way. No prior AI experience needed — just a strong scientific foundation and the ability to communicate complex ideas with clarity. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and review advanced atmospheric science problems with real-world relevance and scientific rigor - Apply your expertise in climate modeling, meteorology, ecology, or sustainability to design complex, nuanced problem statements - Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness - Collaborate asynchronously with AI researchers and domain experts to push the boundaries of AI understanding in environmental science - Ensure clarity, precision, and scientific integrity across all deliverables Who You Are - Holds a Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related field - Strong expertise in climate modeling, atmospheric dynamics, meteorology, ecology, or sustainability - Comfortable coding in Python or R for research or data analysis - Exceptional written communication skills — you can explain complex science clearly and precisely - Detail-oriented and methodical, with a commitment to scientific accuracy - Fluent in English Nice to Have - Experience with data annotation, data quality evaluation, or AI training workflows - Background in academic research, scientific writing, or peer review - Familiarity with remote sensing, geospatial data, or environmental modeling tools - Exposure to interdisciplinary work spanning climate, ecology, and sustainability 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 impact on how AI understands and reasons about the natural world - Contribute scientific expertise that genuinely matters at a global scale - Potential for ongoing work and contract extension as new projects launch

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