Climate Data Specialist What if your years of environmental science training could directly shape ... Proficient in Python or R for research, data analysis, or scientific computing * Exceptional ...
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Washington, DC · On-site
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Raleigh, NC · On-site
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Entry Level Climate Data Analyst information
See salary details
$13.22 - $17.64
10% of jobs
$20.89 is the 25th percentile. Wages below this are outliers.
$17.64 - $22.05
20% of jobs
$22.05 - $26.46
18% of jobs
The median wage is $27.05 / hr.
$26.46 - $30.88
16% of jobs
$34.12 is the 75th percentile. Wages above this are outliers.
$30.88 - $35.29
16% of jobs
$35.29 - $39.71
6% of jobs
$39.71 - $44.12
3% of jobs
$44.12 - $48.54
4% of jobs
$48.54 - $52.95
3% of jobs
$52.95 - $57.36
2% of jobs
$57.36 - $61.78
2% of jobs
$13
$32
$61
How much do entry level climate data analyst jobs pay per hour?
What are the key skills and qualifications needed to thrive as an Entry Level Climate Data Analyst, and why are they important?
What are some typical projects or data sets an Entry Level Climate Data Analyst might work with during their first year?
What does an Entry Level Climate Data Analyst do?
What is the difference between Entry Level Climate Data Analyst vs Entry Level Environmental Data Analyst?
| Aspect | Entry Level Climate Data Analyst | Entry Level Environmental Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in environmental science, climate science, or related field; basic data analysis skills | Bachelor's in environmental science, ecology, or related field; data analysis skills |
| Work Environment | Research institutions, government agencies, NGOs focused on climate issues | Environmental consulting firms, government agencies, NGOs |
| Industry Usage | Primarily in climate change, atmospheric studies, and policy analysis | Broader environmental sectors including conservation, pollution, and resource management |
Both roles involve analyzing environmental data, but Climate Data Analysts focus specifically on climate-related datasets and issues, while Environmental Data Analysts work across various environmental topics. The skills and credentials overlap significantly, making them closely related entry-level positions in the environmental field.

Full-time
This job post has expired 1 day ago. Applications are no longer accepted.
Job description
Climate Data Specialist
What if your years of environmental science training could directly shape how AI understands our planet's most pressing challenges? We're looking for Climate Data Specialists with advanced expertise in climate modeling, ecology, or sustainability to help build and train cutting-edge AI models — making them smarter, more accurate, and genuinely useful for real-world environmental science.
This is a fully remote, flexible contract role designed for Masters and PhD-level scientists who want to put their deep domain knowledge to work in a high-impact, forward-looking field. No prior AI experience needed — just rigorous scientific expertise and a commitment to quality.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Develop, solve, and review advanced environmental science problems with real-world relevance and scientific rigor
- Apply your expertise in climate modeling, ecology, sustainability, or related areas to design complex, nuanced problem statements that challenge AI reasoning
- Evaluate AI-generated outputs for scientific accuracy, depth, and clarity — flagging errors and suggesting improvements grounded in domain expertise
- Collaborate asynchronously with AI researchers and fellow domain experts to enhance model performance across environmental science topics
- Ensure all deliverables meet high standards of scientific integrity, precision, and clarity
Who You Are
- Hold a Master's or PhD in Environmental Science, Atmospheric Science, Ecology, Earth Systems, or a closely related field
- Deep expertise in one or more of the following: climate modeling, ecology, sustainability science, environmental data analysis, or related disciplines
- Proficient in Python or R for research, data analysis, or scientific computing
- Exceptional written communicator — you can explain complex concepts clearly and precisely
- Detail-oriented, self-motivated, and comfortable working independently in an asynchronous environment
- Fluent in English
Nice to Have
- Experience with data annotation, data quality evaluation, or AI training workflows
- Background in scientific writing, peer review, or academic publishing
- Familiarity with environmental datasets, modeling frameworks, or simulation tools
- Experience communicating science to interdisciplinary audiences
Why Join Us
- Work on cutting-edge AI projects alongside leading AI research labs
- Fully remote and flexible — work when and where it suits you, at 10–40 hours per week
- Freelance autonomy with the structure of meaningful, impactful work
- Apply your scientific expertise to one of the most consequential technology frontiers of our time
- Contribute to AI systems that will reason about climate, ecology, and sustainability at a global scale
- Potential for ongoing work and contract extension as new projects launch