Environmental Science Expert (Masters/PhDs)
Environmental Science Expert (AI Training)
About The Role
What if your expertise in climate modeling, ecology, or sustainability could directly shape how AI understands and reasons about the planet's most pressing challenges? We're looking for Environmental Science experts — Masters and PhD holders — to develop advanced, real-world problems that train cutting-edge AI models to think more rigorously about the natural world.
This is a fully remote, flexible contract role built for scientists who want to do meaningful work on their own schedule — no lab coat required, just deep domain knowledge and a sharp analytical mind.
About The Role
What if your expertise in climate modeling, ecology, or sustainability could directly shape how AI understands and reasons about the planet's most pressing challenges? We're looking for Environmental Science experts — Masters and PhD holders — to develop advanced, real-world problems that train cutting-edge AI models to think more rigorously about the natural world.
This is a fully remote, flexible contract role built for scientists who want to do meaningful work on their own schedule — no lab coat required, just deep domain knowledge and a sharp analytical mind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Design, solve, and review advanced environmental science problems with real-world relevance and scientific depth
- Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to craft complex, nuanced problem statements
- Evaluate AI-generated responses for scientific accuracy, rigor, and clarity
- Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
- Ensure every deliverable meets high standards of scientific integrity and communicative precision
- Master's or PhD in Environmental Science or a closely related field
- Deep expertise in at least one of: climate modeling, ecology, sustainability, or environmental systems
- Proficient in Python or R for research or data analysis
- Exceptionally clear writer and communicator — you can explain complex science without losing the nuance
- Detail-oriented and methodical — you hold your work to a high standard
- Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
- Experience with data annotation, evaluation systems, or quality review workflows
- Background in interdisciplinary research spanning multiple environmental domains
- Familiarity with AI tools or large language model outputs
- Published research or applied work in climate science, conservation, or sustainability
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the substance of meaningful, intellectually rigorous work
- Directly contribute to AI systems that will reason about climate, ecology, and the environment
- Potential for ongoing work and contract extension as new projects launch