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Atmospheric Science Expert (Masters/PhDs)

Alignerr
RemoteRemotePosted 3 days ago

Job Description

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

About Alignerr

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Alignerr

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