Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Environmental Science Expert role at Alignerr involves collaborating with AI research teams to develop and review advanced environmental science problems. Candidates should possess a Master's or PhD in Environmental Science or a related field and have expertise in climate modeling, ecology, or sustainability. The position is remote, requiring 10-40 hours of commitment per week, with training support provided. Strong communication skills and experience in coding with Python or R are essential for this role.
Key Responsibilities:
- 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.
Key Skills:
- 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 preferred.
Salary (Rate): £90.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Environmental Science Expert - $90/hr Remote - Alignerr
Location: Remote
About The Job
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
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
- Prior experience with data annotation, data quality, or evaluation systems
Application Process (Takes 15-20 min)
- 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.