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Full Time Climate Data Analyst Jobs (NOW HIRING)

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 ...

Director, Data Stewardship

New York, NY · On-site

$210K - $250K/yr

The New York Climate Exchange ("The Exchange") seeks to recruit a full-time Director of Data Stewardship to lead The Exchange's newly launched Climate Data Stewardship initiative, a flagship program ...

Proficiency in Climate Data Analysis: Ability to interpret and apply climate data to inform ... Mastercard benefits for full time (and certain part time) employees generally include: insurance ...

Proficiency in Climate Data Analysis: Ability to interpret and apply climate data to inform ... Mastercard benefits for full time (and certain part time) employees generally include: insurance ...

Proficiency in Climate Data Analysis: Ability to interpret and apply climate data to inform ... Mastercard benefits for full time (and certain part time) employees generally include: insurance ...

... full-time position with an initial 6-month term. Employment may be extended based on business needs and performance but is not guaranteed. We are seeking a Data Analyst to join our growing team. In ...

For more information about Data Ideology, visitwww.dataideology.com Data Analyst Job Type: Full-Time, 6-Month Fixed-Term (Renewable) This is a full-time position with an initial 6-month term.

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate ... This is opening is for one (1) full-time position located in Charleston, SC. Core responsibilities ...

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Full Time Climate Data Analyst information

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$34K

$82.6K

$136K

How much do full time climate data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for full time climate data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Climate Data Analyst vs Climate Research Associate?

AspectFull Time Climate Data AnalystClimate Research Associate
Required CredentialsBachelor's degree in environmental science, data analysis, or related field; proficiency in data toolsBachelor's or master's in climate science, environmental science, or related field; research experience
Work EnvironmentOffice setting, data centers, field data collectionResearch labs, universities, field sites
Employer & Industry UsageGovernment agencies, environmental consultancies, NGOsAcademic institutions, research organizations, government research labs

While both roles involve climate data, a Full Time Climate Data Analyst primarily focuses on analyzing large datasets to inform decisions, whereas a Climate Research Associate emphasizes conducting research and experiments. The analyst role is more data-centric and often involves technical skills, while the research associate leans toward scientific investigation and publication.

What cities are hiring for Full Time Climate Data Analyst jobs? Cities with the most Full Time Climate Data Analyst job openings:
What are the most commonly searched types of Climate Data Analyst jobs? The most popular types of Climate Data Analyst jobs are:
What states have the most Full Time Climate Data Analyst jobs? States with the most job openings for Full Time Climate Data Analyst jobs include:

Full-time

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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