Atmospheric Science Expert (Masters/PhDs)
Posted Today by Alignerr
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 Atmospheric Science or a related field and have expertise in climate modeling, ecology, or sustainability. The position is remote and requires strong communication skills and coding experience in Python or R. Commitment ranges from 10 to 40 hours per week, with training support provided.
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 Atmospheric 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 Atmospheric 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.