Environmental Science Expert
Alignerr
Job Overview
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Job Description
About the Environmental Science Expert Role at Alignerr
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
This position is an hourly contract role for an Environmental Science Expert with a Master's or PhD, offering compensation between $75-$90 per hour. It is a remote opportunity, requiring a commitment of 10–40 hours per week.
Role Responsibilities (Training Support Will Be Provided)
- Develop, solve, and review advanced environmental science problems with real-world relevance.
- Apply expertise in climate modeling, ecology, sustainability, or related areas to design complex problem statements.
- Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.
- Ensure scientific rigor, clarity, and depth across all deliverables.
Requirements
- Master’s or PhD in Environmental Science or a related field from a top U.S. university (or equivalent).
- Experience coding in Python or R for research or projects.
- Strong expertise in climate modeling, ecology, or sustainability.
- Exceptional written and verbal communication skills with strong attention to detail.
- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
Preferred Qualifications
- Prior experience with data annotation, data quality, or evaluation systems.
Application Process
The application process typically takes 15-20 minutes to complete:
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- Environmental Science
- Climate Modeling
- Ecology
- Sustainability
- Problem Solving
- AI Model Training
- Python
- R Programming
- Scientific Rigor
- Data Annotation
How to Get Hired at Alignerr
- Research Alignerr's mission: Study their focus on partnering with leading AI research teams to understand their core business.
- Showcase advanced expertise: Highlight projects or research in climate modeling, ecology, or sustainability relevant to real-world problems.
- Tailor your resume: Emphasize your Master's/PhD, Python/R coding skills, and experience in scientific problem-solving and data analysis.
- Prepare for the AI interview: Demonstrate exceptional written and verbal communication, attention to detail, and your ability to articulate complex scientific concepts.
- Detail asynchronous collaboration: Provide examples of working effectively with diverse teams and experts, especially in a remote setting.
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