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Climate Data Specialist

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, Artificial Intelligence
  • Science
    Research Scientist, Data Scientist, Artificial Intelligence
Job Description & How to Apply Below
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 complex systems We're looking for Climate Data Specialists with advanced degrees to develop expert-level problems in climate modeling, ecology, and sustainability — problems that will train the next generation of AI models to reason more accurately about the natural world.

This is a fully remote, flexible contract role built for researchers and scientists who want to apply their expertise in a high-impact, cutting-edge context. Training and onboarding support is provided.

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 scientific relevance
Apply deep expertise in climate modeling, ecology, sustainability, or related disciplines to craft complex, rigorous problem statements
Evaluate AI-generated outputs for scientific accuracy, logical reasoning, and depth
Collaborate asynchronously with AI researchers and fellow domain experts to strengthen model reasoning
Ensure clarity, scientific rigor, and intellectual depth across all deliverables
Work independently on task-based assignments — fully on your own schedule

Who You Are

Holds a Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
Experienced with Python or R for research, data analysis, or modeling
Deep subject matter expertise in climate modeling, ecology, sustainability, or environmental systems
Exceptional written communicator — you can explain complex science clearly and precisely
Detail-oriented and methodical with a strong commitment to scientific accuracy
Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand

Nice to Have

Prior experience with data annotation, data quality review, or AI evaluation workflows
Background in peer review, academic publishing, or curriculum development
Familiarity with AI tools or machine learning concepts
Experience communicating complex environmental concepts to interdisciplinary audiences

Why Join Us

Work on frontier AI projects alongside leading research labs and AI teams
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually stimulating work
Directly influence how AI reasons about climate, ecology, and the environment
Potential for ongoing work and contract extension as new projects launch
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