Climate Data Specialist
Alignerr · India
- Hybrid
- Contract
- $75,000 / year
- India
Job highlights
- Train AI models using climate science expertise.
- Develop and review environmental science problems.
- Evaluate AI outputs for scientific accuracy.
- Remote, flexible contract for scientists.
- Shape AI's understanding of our planet.
About the role
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
- Climate Modeling
- Ecology
- Sustainability Science
- Environmental Data Analysis
- AI Training
- Python
- R
- Scientific Computing
- Data Annotation
Skills & topics
- Climate Data Specialist
- AI Training
- Environmental Science
- Climate Modeling
- Ecology
- Sustainability
- Data Analysis
- Python
- R
- Scientific Computing
- Remote Work
- Contract Role
- Master's Degree
- PhD Degree
- AI Research
How to get hired
- Tailor your resume: Highlight your Master's/PhD, climate modeling, ecology, or sustainability expertise, and Python/R proficiency for AI training roles.
- Showcase scientific rigor: Emphasize experience in data analysis, problem-solving, and evaluating complex scientific outputs in your application.
- Demonstrate remote work skills: Detail your experience with asynchronous collaboration, self-motivation, and clear written communication.
- Address 'nice-to-haves': If you have experience with data annotation, AI training, or scientific publishing, be sure to mention it.
- Network and engage: Follow Alignerr on professional platforms and engage with their content to understand their mission.
Technical preparation
Master Python/R for scientific data analysis.,Review climate modeling and ecological principles.,Practice evaluating scientific data accuracy.,Understand AI training data annotation.
Behavioral questions
How do you ensure scientific rigor in your work?,Describe a complex scientific concept you explained.,How do you manage independent, asynchronous work?,How do you handle critical feedback on your analysis?
Frequently asked questions
- What specific AI training experience is required for the Climate Data Specialist role at Alignerr?
- No prior AI experience is required for the Climate Data Specialist role at Alignerr. The company is looking for individuals with a strong scientific background in areas like climate modeling, ecology, or sustainability. Your domain expertise is the primary focus for training the AI models.
- Is the Climate Data Specialist position at Alignerr a full-time or part-time role?
- The Climate Data Specialist position at Alignerr is a fully remote, flexible contract role. Commitment can range from 10–40 hours per week, offering flexibility for individuals seeking part-time or variable engagement.
- What kind of academic background is ideal for an Alignerr Climate Data Specialist?
- Alignerr is seeking candidates with a Master's or PhD in Environmental Science, Atmospheric Science, Ecology, Earth Systems, or a closely related field. This advanced academic background is crucial for providing the necessary scientific expertise.
- How does a Climate Data Specialist contribute to AI development at Alignerr?
- As a Climate Data Specialist at Alignerr, you will apply your expertise to develop, solve, and review complex environmental science problems. You'll design problem statements for AI reasoning, evaluate AI outputs for scientific accuracy, and collaborate with researchers to enhance model performance.
- What programming languages are important for the Climate Data Specialist role?
- Proficiency in Python or R is important for the Climate Data Specialist role at Alignerr, particularly for research, data analysis, or scientific computing tasks that support the AI training process.
- Can I work from anywhere as a Climate Data Specialist at Alignerr?
- Yes, the Climate Data Specialist role at Alignerr is fully remote. This means you can work from any location, offering significant flexibility in your work environment.