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Remote Climate Data Scientist Jobs (NOW HIRING)

Alignerr

Climate Data Specialist What if your years of environmental science training could directly shape ... This is a fully remote, flexible contract role designed for Masters and PhD-level scientists who ...

Alignerr

Climate Data Specialist

Manhattan, NY · On-site +1

Climate Data Specialist (AI Training) About the Role What if your expertise in climate modeling ... This is a fully remote, flexible contract role designed for Masters and PhD-level scientists who ...

Contemporaries

Be Seen First

Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for ... Experience supporting public health, environmental health, climate, or biomedical research projects

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Allume

Data Scientist

Manhattan, NY · Remote

Remote (US-based preferred) Type: Full-time Lumi is seeking a talented Data Scientist to join our growing team. As a Data Scientist at Lumi, you'll be responsible for developing and implementing data ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

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Remote Climate Data Scientist information

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$46K

$165K

$243.5K

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

As of May 28, 2026, the average yearly pay for remote 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 Remote Climate Data Scientist, and why are they important?

To thrive as a Remote Climate Data Scientist, you need a strong background in climate science, statistics, and data analysis, typically supported by an advanced degree in environmental science, data science, or a related field. Expertise in programming languages like Python or R, experience with climate modeling tools, and familiarity with cloud-based data platforms are commonly required. Strong problem-solving abilities, self-motivation, and clear communication are critical for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate climate predictions, effective teamwork across locations, and valuable contributions to climate research and policy.

How do Remote Climate Data Scientists typically collaborate with team members and stakeholders across different time zones?

Remote Climate Data Scientists often work with multidisciplinary teams that may be distributed globally. Effective collaboration relies on clear communication through digital channels like Slack, video meetings, and project management tools. Regularly scheduled check-ins, shared documentation, and flexible work hours help ensure everyone stays aligned despite time zone differences. Being proactive in sharing progress updates and seeking feedback is key to successful teamwork in this remote, international environment.

What is a Remote Climate Data Scientist?

A Remote Climate Data Scientist is a professional who analyzes large sets of climate-related data, often from various sources such as weather stations, satellites, and climate models, to uncover trends and provide insights about climate change. They work remotely, using advanced statistical and machine learning techniques to interpret data and make predictions that can inform policy, research, and business decisions. Their work helps drive understanding of environmental patterns, supports climate resilience planning, and contributes to scientific publications or organizational strategy. Being remote, they collaborate with teams and stakeholders virtually, utilizing digital tools to communicate and share findings.

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

AspectRemote Climate Data ScientistRemote Environmental Data Analyst
Required CredentialsDegree in Climate Science, Data Science, or related field; proficiency in Python, R, GIS toolsDegree in Environmental Science, Data Analysis, or related; skills in statistical software and data visualization
Work EnvironmentResearch institutions, climate-focused organizations, government agenciesEnvironmental consulting firms, NGOs, government agencies
Industry UsageClimate modeling, policy analysis, sustainability projectsEnvironmental impact assessments, resource management, conservation projects

The main difference is that Remote Climate Data Scientists focus on climate-specific data modeling and analysis, often involving climate change projections, while Remote Environmental Data Analysts work on broader environmental issues like resource management and conservation. Both roles require strong data skills and often overlap in work environment and credentials, but their focus areas differ within the environmental sector.

More about Remote Climate Data Scientist jobs
What cities are hiring for Remote Climate Data Scientist jobs? Cities with the most Remote 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 Remote Climate Data Scientist jobs? States with the most job openings for Remote Climate Data Scientist jobs include:
What job categories do people searching Remote Climate Data Scientist jobs look for? The top searched job categories for Remote Climate Data Scientist jobs are:
Remote Climate Data Scientist jobs near you
Infographic showing various Remote Climate Data Scientist job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 2% Part Time, and 9% Contract. Highlights an 56% Physical, 4% Hybrid, and 40% Remote job distribution, with an average salary of $165,018 per year, or $79.3 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