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Climate Data And Analytics Jobs (NOW HIRING)

Alignerr

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 ...

Alignerr

Climate Data Specialist

Manhattan, NY · On-site +1

Climate Data Specialist (AI Training) About the Role What if your expertise in climate modeling ... Proficient in Python or R for research, data analysis, or modeling * Exceptional written ...

MasterCard

Climate Resilience Manager

Purchase, NY · On-site +1

Proficiency in Climate Data Analysis: Ability to interpret and apply climate data to inform decision-making for real estate and infrastructure projects. Risk Assessment Skills: Capable of conducting ...

MasterCard

Climate Resilience Manager

New York, NY · On-site +1

Proficiency in Climate Data Analysis: Ability to interpret and apply climate data to inform decision-making for real estate and infrastructure projects. Risk Assessment Skills: Capable of conducting ...

MasterCard

Climate Resilience Manager

O Fallon, MO · On-site +1

Proficiency in Climate Data Analysis: Ability to interpret and apply climate data to inform decision-making for real estate and infrastructure projects. Risk Assessment Skills: Capable of conducting ...

350.org

We also strive to include team members in communities most impacted by climate change or impacted by other kinds of environmental, social, and economic injustice. The Data & Analytics Manager leads ...

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How much do climate data and analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for climate data and analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is the difference between Climate Data And Analytics vs Climate Data Analyst?

AspectClimate Data And AnalyticsClimate Data Analyst
Required CredentialsBachelor's or higher in environmental science, data science, or related fieldsBachelor's or higher in environmental science, data science, or related fields
Work EnvironmentData analysis teams, research labs, environmental agenciesData analysis teams, research labs, environmental agencies
Employer & Industry UsageOrganizations focusing on climate modeling, data analysis, and environmental researchOrganizations analyzing climate data to inform policy, research, or project planning

Climate Data And Analytics involves a broader scope, including developing models, managing large datasets, and providing insights. Climate Data Analysts focus on interpreting climate data, creating reports, and supporting decision-making. Both roles require similar credentials and work environments but differ in scope and responsibilities.

More about Climate Data And Analytics jobs
What cities are hiring for Climate Data And Analytics jobs? Cities with the most Climate Data And Analytics job openings:
What job categories do people searching Climate Data And Analytics jobs look for? The top searched job categories for Climate Data And Analytics jobs are:
Climate Data And Analytics jobs near you
Infographic showing various Climate Data And Analytics job openings in the United States as of May 2026, with employment types broken down into 3% Full Time, 79% Part Time, 2% Temporary, and 16% Contract. Highlights an 94% Physical, and 6% Hybrid job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Climate Data Specialist

Alignerr

Remote

Full-time

This job post has expired today. 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

Apply