Environmental Science Expert (Masters/PhDs)

Work Initiatives; Melbourne; Remote; AUD 122,000 - 203,000; Part time

Job summary

Work Initiatives is seeking Environmental Science experts to shape AI training by developing and reviewing advanced problems in climate modeling, ecology, and sustainability.

The role offers a fully remote, flexible hourly contract for researchers with a Master’s or PhD in Environmental Science. You’ll work 10–40 hours per week on your own schedule while collaborating with AI researchers to ensure rigorous scientific standards.

Qualifications

• Master's or PhD in Environmental Science or a closely related field.
• Deep expertise in climate modeling, ecology, environmental sustainability, or adjacent areas.
• Proficient in Python or R for research and data analysis.
• Exceptional written communication and ability to translate complex science clearly.

Responsibilities

• Design, solve, and review complex environmental science problems for real-world AI training.
• Craft nuanced problem statements with domain relevance for AI reasoning.
• Evaluate AI-generated outputs for scientific accuracy and rigor.
• Collaborate asynchronously with AI researchers to refine model performance.
• Ensure clarity, precision, and intellectual integrity across deliverables.
• Work independently on task-based assignments with flexible scheduling.

Skills

Python

R

Technical writing

Independent worker

Education

Master's or PhD in Environmental Science

Tools

AI tools

Data analysis tools

Job description

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 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, flexible contract role built for researchers and advanced degree holders who want to put their domain expertise to meaningful use — on their own schedule.

Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 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 AreHold 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 HavePrior 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 UsWork 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