Environmental Science Expert (Masters/PhDs) (Melbourne)

Environmental Science Expert (Masters/PhDs) (Melbourne)

31 Jul
|
Alignerr
|
Melbourne

31 Jul

Alignerr

Melbourne

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 most pressing environmental challenges facing our planet? We're looking for Environmental Science experts to develop and review advanced, real-world problems that teach AI systems to think with genuine scientific rigor. This is a fully remote, adaptable contract role built for researchers and advanced degree holders who want to put their domain expertise to meaningful use — on their own schedule.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design, solve, and review complex environmental science problems with real-world relevance — spanning climate modeling, ecology, sustainability, and related disciplines

Apply your advanced domain knowledge to craft challenging, nuanced problem statements that push AI reasoning to its limits

Evaluate AI-generated outputs for scientific accuracy, depth, and rigor

Collaborate asynchronously with AI researchers and fellow domain experts to refine and improve model performance

Ensure clarity, precision, and intellectual integrity across all deliverables





Work independently on task-based assignments fully on your own schedule Who You Are Hold a Master's or PhD in Environmental Science or a closely related field

Deep expertise in at least one of: climate modeling, ecology, environmental sustainability, or adjacent areas

Proficient in Python or R for research, data analysis, or scientific computing

Exceptional written communicator — you can translate complex science into clear, well-structured problem statements

Detail-oriented, rigorous, and comfortable working independently

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 labeling, or AI evaluation workflows

Background in interdisciplinary research spanning environmental science and quantitative modeling

Experience designing curriculum, assessments, or research problems in an academic or professional setting

Familiarity with AI tools or large language model capabilities Why Join Us Work on cutting-edge AI projects alongside leading research labs

Fully remote and flexible — work when and where it suits you

Freelance autonomy with the structure of meaningful, expert-level work

Make a direct impact on how AI understands environmental science and reasons about climate and ecology

Potential for ongoing work and contract extension as new projects launch

📌 Environmental Science Expert (Masters/PhDs) (Melbourne)
🏢 Alignerr
📍 Melbourne

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