Job Overview
Job TitleClimate Data Specialist AI Training
Job TypeContractor
Offered Salary$60,000
LocationHybrid
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Job Description
About The Role
What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI understands the planet's most complex and urgent challenges? We're looking for Climate Data Specialists to develop advanced, real-world problems that train cutting-edge AI models to reason about environmental science at an expert level.
This is a fully remote, flexible contract role built for Masters and PhD-level environmental scientists who want to put their deep domain knowledge to work on something genuinely consequential — without leaving the flexibility of freelance behind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and develop advanced environmental science problems with real-world relevance — spanning climate modeling, ecology, sustainability, and related domains
- Solve and review complex, domain-specific problems to ensure scientific rigor, accuracy, and depth
- Apply your expertise to create challenging problem statements that push AI reasoning to its limits
- Collaborate asynchronously with AI researchers and fellow domain experts to refine and improve model outputs
- Evaluate the quality and scientific validity of AI-generated content across environmental science topics
- Work independently on task-based assignments at your own pace and on your own schedule
Who You Are
- Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
- Deep expertise in at least one of: climate modeling, ecology, environmental sustainability, or earth systems science
- Proficient in Python or R for research or data analysis
- Exceptional written communication skills — you can explain complex ideas with clarity and precision
- Detail-oriented and scientifically rigorous in everything you produce
- Self-motivated and reliable when working independently without close supervision
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in peer review, scientific writing, or academic research publication
- Familiarity with AI tools or machine learning concepts as an end user
- Experience designing or grading graduate-level coursework or research problems
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Apply your graduate-level expertise to one of the most impactful technology frontiers of our time
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- Climate Data Specialist
- AI Training
- Climate Modeling
- Ecology
- Environmental Science
- Data Annotation
- Python
- R
- Scientific Rigor
- Remote Work
How to Get Hired at Alignerr
- Tailor your resume: Highlight your Master's/PhD in environmental science and relevant expertise (climate modeling, ecology, sustainability).
- Showcase technical skills: Emphasize proficiency in Python or R for research and data analysis.
- Demonstrate communication: Provide examples of explaining complex scientific ideas clearly and precisely.
- Highlight remote work experience: Showcase your self-motivation and ability to work independently without close supervision.
- Align with the company mission: Articulate how your skills can directly shape AI's understanding of environmental challenges.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What kind of environmental science expertise is Alignerr looking for in a Climate Data Specialist?
02Is this Climate Data Specialist role remote, and what are the expected hours?
03What programming languages are important for the Climate Data Specialist position?
04What are the primary responsibilities of a Climate Data Specialist at Alignerr?
05What 'nice to have' qualifications would make a candidate stand out for the Climate Data Specialist role?
06How does Alignerr ensure the scientific rigor of the AI training data created by Climate Data Specialists?
07What is the nature of the work for a Climate Data Specialist at Alignerr?
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