Job Overview
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Job Description
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.
As a Climate Data Specialist, you will play a crucial role in enhancing AI model reasoning by applying your expertise in environmental science. This is an hourly contract position, offering flexibility in commitment.
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.
Key skills/competency
- Climate modeling
- Ecology
- Sustainability
- Environmental science
- Python
- R
- AI research
- Data annotation
- Scientific rigor
- Problem-solving
How to Get Hired at Alignerr
- Research Alignerr's mission: Study their focus on AI model training and environmental science applications.
- Tailor your resume: Highlight your Master's/PhD, climate modeling, Python/R, and AI collaboration experience.
- Showcase environmental expertise: Emphasize projects in climate, ecology, or sustainability, demonstrating scientific rigor.
- Prepare for the screening project: Practice solving complex environmental science problems and articulate your methods clearly.
- Master asynchronous communication: Be ready to discuss examples of effective remote teamwork and attention to detail.
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