What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI understands the planet's most complex and urgent challenges?
Atmospheric Science Expert (Masters/PhDs)
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 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 — ensuring they think rigorously, reason accurately, and reflect real scientific understanding.
This is a fully remote, flexible contract role designed for Masters and PhD-level scientists who want to put their expertise to work at the frontier of AI development. No prior AI experience needed — your domain knowledge 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, nuanced problem sets
- Evaluate AI-generated scientific reasoning for accuracy, depth, and rigor
- Collaborate asynchronously with AI researchers and fellow domain experts to improve model performance
- Ensure scientific clarity, methodological soundness, and appropriate complexity across all deliverables
- Work independently on task-based assignments — fully on your own schedule
Who You Are
- Masters or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related field
- Strong expertise in climate modeling, atmospheric dynamics, ecology, or sustainability
- Proficient in Python or R for scientific research or data analysis
- Exceptional written communication skills with a sharp eye for scientific accuracy and detail
- Self-motivated and comfortable working independently in an asynchronous environment
- Fluent in English
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Background in science communication or technical writing
- Familiarity with AI tools or large language model outputs as an end user
- Experience reviewing or peer-reviewing scientific work
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 atmospheric science and climate
- Contribute to AI development that could meaningfully advance scientific understanding at scale
- Potential for ongoing work and contract extension as new projects launch
Available regions
Each region below is open to applicants in that country only. Apply through the link for your region.
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