Atmospheric Science Expert (Masters/PhDs)
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Atmospheric Science Expert role focuses on leveraging deep knowledge in atmospheric science to develop and evaluate scientific problems that enhance AI's understanding of climate and weather systems. This fully remote contract position is designed for researchers and scientists who wish to apply their expertise in a practical context, without requiring prior AI experience. The role involves collaboration with AI researchers and emphasizes scientific accuracy and clarity in deliverables.
Key Responsibilities:
- Design, solve, and review advanced atmospheric science problems with real-world relevance and scientific depth
- Apply expertise in climate modeling, meteorology, ecology, or sustainability to craft complex, rigorous problem statements
- Evaluate AI-generated scientific reasoning and flag errors, oversimplifications, or gaps in logic
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen model performance
- Ensure scientific accuracy, clarity, and rigor across all deliverables
- Work independently on task-based assignments — fully on your own schedule
Key Skills:
- Master's or PhD in Atmospheric Science, Climate Science, Meteorology, or a closely related field
- Strong expertise in one or more of: climate modeling, atmospheric dynamics, ecology, or environmental sustainability
- Proficient in Python or R for research, data analysis, or scientific computing
- Exceptional written communicator — ability to explain complex science with clarity and precision
- Detail-oriented and methodical in approach to problem design and evaluation
- Fluent in English
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows (nice to have)
- Background in peer review, academic writing, or curriculum development (nice to have)
- Familiarity with AI tools or large language models as an end user (nice to have)
- Experience working across interdisciplinary teams or research collaborations (nice to have)
Salary (Rate): £75.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Atmospheric Science Expert (AI Training)
About The Role
What if your deep knowledge of atmospheric science could directly shape how AI understands and reasons about climate, weather systems, and our planet's future? We're looking for Atmospheric Science experts to develop and evaluate advanced scientific problems that train the next generation of AI models — making them smarter, more rigorous, and genuinely useful for real-world challenges. This is a fully remote, flexible contract role built for researchers and scientists who want to apply their expertise beyond the lab. No AI background required — just deep domain knowledge and a commitment to scientific precision.
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 relevance and scientific depth
- Apply your expertise in climate modeling, meteorology, ecology, or sustainability to craft complex, rigorous problem statements
- Evaluate AI-generated scientific reasoning and flag errors, oversimplifications, or gaps in logic
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen model performance
- Ensure scientific accuracy, clarity, and rigor 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, Meteorology, or a closely related field
- Strong expertise in one or more of: climate modeling, atmospheric dynamics, ecology, or environmental sustainability
- Proficient in Python or R for research, data analysis, or scientific computing
- Exceptional written communicator — you can explain complex science with clarity and precision
- Detail-oriented and methodical in your approach to problem design and evaluation
- Fluent in English
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Background in peer review, academic writing, or curriculum development
- Familiarity with AI tools or large language models as an end user
- Experience working across interdisciplinary teams or research collaborations
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
- Freelance autonomy with the structure of meaningful, intellectually engaging work
- Apply your scientific expertise to a field that's actively shaping the future of technology
- Potential for ongoing work and contract extension as new projects launch