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Environmental Science Expert (Masters/PhDs)
Job summary
A leading AI research firm seeks an Environmental Science Expert to tackle advanced challenges in environmental science. This remote role provides opportunities to collaborate with top AI researchers while utilizing expertise in climate modeling, ecology, and sustainability. Ideal candidates should have a Master’s or PhD in a relevant field and experience in coding with Python or R. Compensation ranges from $75 to $90 per hour for a commitment of 10–40 hours per week.
Qualifications
- Master’s or PhD in Environmental Science or a related field from a top U.S. university.
- Experience coding in Python or R for research or projects.
- Strong expertise in climate modeling, ecology, or sustainability.
Responsibilities
- Develop, solve, and review advanced environmental science problems.
- Apply expertise in climate modeling to design complex problem statements.
- Collaborate with AI researchers to enhance AI model reasoning.
Skills
Education
Environmental Science Expert - $90/hr Remote - Alignerr
Location: Remote
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
Organization: Alignerr Position: Environmental Science Expert (Masters/PhDs) Type: Hourly Contract Compensation: $75–$90 /hour Location: Remote Commitment: 10–40 hours/week
- 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.
- 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.
- Prior experience with data annotation, data quality, or evaluation systems
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.