Atmospheric Science Expert; Masters/PhDs
Job in
Albany, Albany County, New York, 12201, USA
Listed on 2026-06-21
Listing for:
Alignerr
Full Time
position Listed on 2026-06-21
Job specializations:
-
Research/Development
AI Evaluation, Research Scientist, Artificial Intelligence
Job Description & How to Apply Below
Atmospheric Science Expert (AI Training)
About The Role What if your deep knowledge of atmospheric science could directly shape how AI understands our planet’s most complex systems — from climate modeling to ecological dynamics? We’re looking for Atmospheric Science experts to develop advanced, rigorous problems that train the next generation of AI models to reason at a scientific level.
This is a fully remote, flexible contract role built for researchers and domain specialists who want to apply their expertise in a high-impact, innovative way. No prior AI experience needed — just a strong scientific background and a passion for intellectual rigor.
- 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 statements
- Collaborate asynchronously with AI researchers and fellow domain experts to sharpen AI model reasoning
- Evaluate the quality, depth, and scientific accuracy of AI-generated outputs in your field
- Ensure scientific rigor, clarity, and precision across all deliverables
- Work independently on task-based assignments, fully on your own schedule
Who You Are
- Holder of a Master’s or PhD in Atmospheric Science or a closely related field
- Experienced with Python or R for research, data analysis, or modeling
- Deeply knowledgeable in one or more of: climate modeling, meteorology, atmospheric dynamics, ecology, or sustainability science
- Exceptionally clear and precise in written communication — you can translate complex science into well-structured problems
- Detail-oriented, methodical, and committed to producing high-quality scientific work
- Fluent in English
Nice to Have
- Experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with large-scale climate datasets or simulation frameworks
- Background in academic research, peer review, or scientific publishing
- Interest in the intersection of environmental science and artificial intelligence
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 physical world
- Potential for ongoing work and contract extension as new projects launch
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