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Volunteer Climate Data Scientist Jobs (NOW HIRING)

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 ...

Design, solve, and review advanced environmental science problems with real-world relevance and scientific rigor * Apply your expertise in climate modeling, ecology, sustainability, or related ...

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Data Scientist

Durham, NC · Remote

$51 - $58/hr

Bachelor's degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental ... Experience supporting public health, environmental health, climate, or biomedical research projects

About Us We are a global climate technologies company engineered for sustainability. We create ... As a Experienced Data Scientist, You Will * Apply machine learning, econometrics, and emerging AI ...

About Us We are a global climate technologies company engineered for sustainability. We create ... As a Experienced Data Scientist, You Will * Apply machine learning, econometrics, and emerging AI ...

About Us We are a global climate technologies company engineered for sustainability. We create ... As a Experienced Data Scientist, You Will * Apply machine learning, econometrics, and emerging AI ...

Data Scientist

San Francisco, CA · On-site

$146K - $172K/yr

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ... Experience in energy, climate tech, or related domains (not required) * Familiarity with ...

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Volunteer Climate Data Scientist information

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$46K

$165K

$243.5K

How much do volunteer climate data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for volunteer climate data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Volunteer Climate Data Scientist, and why are they important?

To thrive as a Volunteer Climate Data Scientist, you need a solid background in data analysis, environmental science, and statistical methods, often supported by a degree in a related field or equivalent experience. Familiarity with programming languages like Python or R, data visualization tools, and climate modeling software is typically required. Strong communication, collaboration, and problem-solving skills help you translate complex data into actionable insights for diverse stakeholders. These abilities are vital for producing meaningful analyses that inform climate action and support research efforts within limited-resource environments.

How does a Volunteer Climate Data Scientist typically collaborate with other team members during a project?

As a Volunteer Climate Data Scientist, you will often work closely with cross-functional teams that may include environmental researchers, policy analysts, and software developers. Collaboration usually involves regular meetings to discuss project goals, data sharing protocols, and progress updates. You may also contribute to group data analysis sessions and help communicate complex findings to non-technical stakeholders. Effective teamwork and clear communication are essential, as projects often require integrating diverse datasets and perspectives to inform climate solutions.

What does a Volunteer Climate Data Scientist do?

A Volunteer Climate Data Scientist analyzes climate-related data to help organizations understand and address environmental issues. Their tasks may include collecting, cleaning, and interpreting data related to climate change, such as temperature records, emissions data, or weather patterns. They use statistical and machine learning methods to uncover trends, generate insights, and sometimes visualize the results for non-technical audiences. Volunteer Climate Data Scientists often work with nonprofits, research groups, or advocacy organizations to support environmental projects. Their contributions can be crucial for informing climate policy, education, and action.

What is the difference between Volunteer Climate Data Scientist vs Volunteer Environmental Data Analyst?

AspectVolunteer Climate Data ScientistVolunteer Environmental Data Analyst
Required CredentialsBackground in data science, climate science, or related fields; proficiency in data analysis toolsBackground in environmental science, data analysis; familiarity with environmental datasets
Work EnvironmentNonprofit organizations, research projects, climate-focused initiativesEnvironmental agencies, NGOs, research institutions
Employer & Industry UsageClimate change research, policy advocacy, environmental NGOsEnvironmental monitoring, conservation projects, policy analysis

Both roles involve analyzing environmental data, but Volunteer Climate Data Scientists focus specifically on climate-related datasets and modeling, while Volunteer Environmental Data Analysts work on broader environmental issues. The roles often overlap in skills and work environments, but the focus area distinguishes them.

What cities are hiring for Volunteer Climate Data Scientist jobs? Cities with the most Volunteer Climate Data Scientist job openings:
What are the most commonly searched types of Climate Data Scientist jobs? The most popular types of Climate Data Scientist jobs are:
What states have the most Volunteer Climate Data Scientist jobs? States with the most job openings for Volunteer Climate Data Scientist jobs include:
What job categories do people searching Volunteer Climate Data Scientist jobs look for? The top searched job categories for Volunteer Climate Data Scientist jobs are:
Infographic showing various Volunteer Climate Data Scientist job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

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