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Environmental Science Expert; Masters​/PhDs

Job in 110006, Delhi, Delhi, India
Listing for: alignerr
Full Time position
Listed on 2026-06-08
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
  • Science
    Research Scientist, Data Scientist, Environmental Compliance
Job Description & How to Apply Below
Position: 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.

Organization:
Alignerr
Type:
Hourly Contract

Location:

Remote
Commitment: 10–40 hours/week

What You'll Do

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

Who You Are

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

Nice to Have

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

Why Join Us

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
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