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Job summary
A leading AI research partner is seeking an Environmental Science Expert for a remote opportunity. You will develop and solve advanced environmental science problems while applying your expertise in climate modeling or sustainability. Qualifications include a Master’s or PhD from a top university, fluency in English, and proficiency in Python or R. The position offers $75-$90 per hour with a commitment of 10–40 hours per week.
Qualifications
- Master’s or PhD from a top university in Environmental Science or related field.
- Experience in Python or R for research or projects.
- Fluent in English, based in U.S., Canada, New Zealand, U.K., or Australia.
Responsibilities
- Develop and review advanced environmental science problems.
- Apply expertise to design complex problem statements.
- Collaborate with AI researchers to enhance AI model reasoning.
- Ensure scientific rigor and clarity across deliverables.
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.