Climate Data Specialist
Alignerr · India
- Hybrid
- Contract
- $40,000 / year
- India
Job highlights
- Train AI models using climate science expertise.
- Shape AI's understanding of environmental challenges.
- Remote, flexible contract for scientists.
- Masters/PhD level required, no AI experience.
- High-impact role in AI and environmental science.
About the role
Climate Data Specialist (AI Training)
About The Role
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.
Key skills/competency
- Climate Data Specialist
- AI Training
- Environmental Science
- Climate Modeling
- Ecology
- Sustainability
- Data Analysis
- Scientific Computing
- Python
- R
Skills & topics
- Climate Data Specialist
- AI Training
- Environmental Science
- Climate Modeling
- Ecology
- Sustainability
- Data Analysis
- Scientific Computing
- Python
- R
- Masters
- PhD
How to get hired
- Tailor your resume: Highlight your Master's or PhD in a relevant field, and emphasize your expertise in climate modeling, ecology, or sustainability. Quantify achievements where possible.
- Showcase scientific rigor: Demonstrate your experience with scientific data analysis, research, and clear communication. Mention proficiency in Python or R for scientific computing.
- Address remote work skills: Emphasize your detail-oriented nature, self-motivation, and comfort with asynchronous, independent work environments in your application.
- Highlight domain knowledge: Clearly articulate your deep understanding of environmental science concepts and how they can be applied to train AI models.
Technical preparation
Brush up on Python or R for data analysis.,Review climate modeling and ecological principles.,Practice explaining complex scientific concepts clearly.,Familiarize yourself with environmental datasets.
Behavioral questions
Describe a complex scientific problem you solved.,How do you ensure accuracy in your work?,How do you work independently and asynchronously?,Explain a scientific concept to a non-expert.
Frequently asked questions
- What is the work arrangement for the Climate Data Specialist role at Alignerr?
- The Climate Data Specialist role at Alignerr is fully remote, offering a flexible contract with commitment options ranging from 10 to 40 hours per week. This allows you to work from anywhere that suits you.
- What qualifications are essential for the Climate Data Specialist position?
- Essential qualifications for the Climate Data Specialist role include a Master's or PhD in Environmental Science, Atmospheric Science, Ecology, Earth Systems, or a closely related field. Deep expertise in climate modeling, ecology, sustainability science, or environmental data analysis is also required. Proficiency in Python or R for scientific computing and exceptional written communication skills are also key.
- Do I need prior AI experience to apply for the Climate Data Specialist job?
- No, prior AI experience is not required for the Climate Data Specialist position. Alignerr is looking for rigorous scientific expertise and a commitment to quality, with no prior AI training needed.
- What is the compensation structure for this role?
- The Climate Data Specialist role is an hourly contract position. The specific hourly rate would be discussed during the hiring process, based on experience and qualifications.
- How does Alignerr ensure the quality of AI training data for climate science?
- Alignerr relies on Climate Data Specialists with advanced scientific expertise to develop, solve, and review environmental science problems. These specialists evaluate AI-generated outputs for scientific accuracy, depth, and clarity, ensuring high standards of scientific integrity and precision.
- What is the typical commitment for a Climate Data Specialist?
- The commitment for a Climate Data Specialist is flexible, ranging from 10 to 40 hours per week. This allows individuals to balance their work with other commitments or projects.