Climate Data Specialist

Climate Data Specialist (AI Training)
About The Role
What if your years of environmental science training could directly shape how AI understands our planet's most pressing challenges? We're looking for Climate Data Specialists with advanced expertise in climate modeling, ecology, or sustainability to help build and train cutting-edge AI models — making them smarter, more accurate, and genuinely useful for real-world environmental science.
This is a fully remote, flexible contract role designed for Masters and PhD-level scientists who want to put their deep domain knowledge to work in a high-impact, forward-looking field. No prior AI experience needed — just rigorous scientific expertise and a commitment to quality.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Develop, solve, and review advanced environmental science problems with real-world relevance and scientific rigor
Apply your expertise in climate modeling, ecology, sustainability, or related areas to design complex, nuanced problem statements that challenge AI reasoning
Evaluate AI-generated outputs for scientific accuracy, depth, and clarity — flagging errors and suggesting improvements grounded in domain expertise
Collaborate asynchronously with AI researchers and fellow domain experts to enhance model performance across environmental science topics
Ensure all deliverables meet high standards of scientific integrity, precision, and clarity
Who You Are
Hold a Master's or PhD in Environmental Science, Atmospheric Science, Ecology, Earth Systems, or a closely related field
Deep expertise in one or more of the following: climate modeling, ecology, sustainability science, environmental data analysis, or related disciplines
Proficient in Python or R for research, data analysis, or scientific computing
Exceptional written communicator — you can explain complex concepts clearly and precisely
Detail-oriented, self-motivated, and comfortable working independently in an asynchronous environment
Fluent in English
Nice to Have
Experience with data annotation, data quality evaluation, or AI training workflows
Background in scientific writing, peer review, or academic publishing
Familiarity with environmental datasets, modeling frameworks, or simulation tools
Experience communicating science to interdisciplinary audiences
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, at 10–40 hours per week
Freelance autonomy with the structure of meaningful, impactful work
Apply your scientific expertise to one of the most consequential technology frontiers of our time
Contribute to AI systems that will reason about climate, ecology, and sustainability at a global scale
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes