Live opening · Posted 2 days ago

Atmospheric Science Expert (Masters/PhDs)

Alignerr · Mumbai, Maharashtra, India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyAlignerr
LocationMumbai, Maharashtra, India (Remote)
Salary$75/hr - $90/hr
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

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 the environment for researchers and policymakers worldwide? We're looking for Atmospheric Science experts to develop and evaluate advanced problems that push AI models to think more rigorously about the science that governs our planet.
This is a fully remote, flexible contract role built for postgraduate scientists who want to apply their expertise beyond the lab — contributing to cutting-edge AI development on their own schedule.
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 related disciplines to craft complex, meaningful problem statements
Evaluate AI-generated scientific reasoning for accuracy, rigor, and depth
Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model performance
Ensure scientific clarity and methodological soundness 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, modeling, or data analysis
Deep expertise in at least one of: climate modeling, atmospheric dynamics, meteorology, ecology, or sustainability science
Exceptional written communicator who can translate complex science into clear, structured problem sets
Detail-oriented and rigorous — you hold your work to the same standards as peer-reviewed research
Fluent in English
Nice to Have
Prior experience with data annotation, evaluation systems, or AI training workflows
Background in scientific writing, peer review, or curriculum development
Familiarity with large-scale climate datasets or numerical modeling frameworks
Experience bridging domain science and applied technology
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
Apply your advanced scientific training to problems that matter at a global scale
Freelance autonomy with the structure of meaningful, task-based work
Contribute to AI systems that will shape how the world understands climate and atmospheric science
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes

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