Climate Data Specialist
Alignerr · France
- Hybrid
- Contract
- $60,000 / year
- France
Job highlights
- Design AI training problems in environmental science.
- Solve and review complex domain-specific problems.
- Create challenging problem statements for AI.
- Collaborate with AI researchers and experts.
- Evaluate AI-generated environmental content.
About the role
About The Role
What if your expertise in climate modeling, ecology, or environmental science could directly shape how AI understands the planet's most complex and urgent challenges? We're looking for Climate Data Specialists to develop advanced, real-world problems that train cutting-edge AI models to reason about environmental science at an expert level.
This is a fully remote, flexible contract role built for Masters and PhD-level environmental scientists who want to put their deep domain knowledge to work on something genuinely consequential — without leaving the flexibility of freelance behind.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and develop advanced environmental science problems with real-world relevance — spanning climate modeling, ecology, sustainability, and related domains
- Solve and review complex, domain-specific problems to ensure scientific rigor, accuracy, and depth
- Apply your expertise to create challenging problem statements that push AI reasoning to its limits
- Collaborate asynchronously with AI researchers and fellow domain experts to refine and improve model outputs
- Evaluate the quality and scientific validity of AI-generated content across environmental science topics
- Work independently on task-based assignments at your own pace and on your own schedule
Who You Are
- Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
- Deep expertise in at least one of: climate modeling, ecology, environmental sustainability, or earth systems science
- Proficient in Python or R for research or data analysis
- Exceptional written communication skills — you can explain complex ideas with clarity and precision
- Detail-oriented and scientifically rigorous in everything you produce
- Self-motivated and reliable when working independently without close supervision
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in peer review, scientific writing, or academic research publication
- Familiarity with AI tools or machine learning concepts as an end user
- Experience designing or grading graduate-level coursework or research problems
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Apply your graduate-level expertise to one of the most impactful technology frontiers of our time
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- Climate Data Specialist
- AI Training
- Climate Modeling
- Ecology
- Environmental Science
- Data Annotation
- Python
- R
- Scientific Rigor
- Remote Work
Skills & topics
- Climate Data Specialist
- AI Training
- Environmental Science
- Climate Modeling
- Ecology
- Sustainability
- Data Annotation
- Python
- R
- Remote Work
- Contract Role
- Scientific Research
How to get hired
- Tailor your resume: Highlight your Master's/PhD in environmental science and relevant expertise (climate modeling, ecology, sustainability).
- Showcase technical skills: Emphasize proficiency in Python or R for research and data analysis.
- Demonstrate communication: Provide examples of explaining complex scientific ideas clearly and precisely.
- Highlight remote work experience: Showcase your self-motivation and ability to work independently without close supervision.
- Align with the company mission: Articulate how your skills can directly shape AI's understanding of environmental challenges.
Technical preparation
Brush up on Python or R for data analysis.,Review climate modeling and ecology concepts.,Familiarize yourself with AI training workflows.,Practice explaining complex scientific ideas.
Behavioral questions
Describe a complex scientific problem you solved.,How do you ensure accuracy in your work?,How do you manage your time independently?,Explain a difficult concept to a non-expert.
Frequently asked questions
- What kind of environmental science expertise is Alignerr looking for in a Climate Data Specialist?
- Alignerr is seeking candidates with a Master's or PhD in Environmental Science, Climate Science, Ecology, or a related field. Deep expertise in at least one of climate modeling, ecology, environmental sustainability, or earth systems science is essential for this Climate Data Specialist role.
- Is this Climate Data Specialist role remote, and what are the expected hours?
- Yes, this is a fully remote, flexible contract role. The commitment is typically between 10-40 hours per week, allowing you to work when and where it suits you best.
- What programming languages are important for the Climate Data Specialist position?
- Proficiency in Python or R for research or data analysis is required for this Climate Data Specialist role. These skills are important for developing and solving the environmental science problems used in AI training.
- What are the primary responsibilities of a Climate Data Specialist at Alignerr?
- As a Climate Data Specialist, you will design and develop advanced environmental science problems for AI training, solve and review these complex problems for scientific rigor, create challenging problem statements, collaborate with AI researchers, and evaluate AI-generated content.
- What 'nice to have' qualifications would make a candidate stand out for the Climate Data Specialist role?
- Nice-to-have qualifications for the Climate Data Specialist role include prior experience with data annotation, data quality evaluation, AI training workflows, peer review, scientific writing, or familiarity with AI tools and machine learning concepts.
- How does Alignerr ensure the scientific rigor of the AI training data created by Climate Data Specialists?
- Alignerr ensures scientific rigor by having candidates with Master's or PhD degrees in relevant environmental fields solve and review complex, domain-specific problems. The role demands exceptional written communication and a detail-oriented, scientifically rigorous approach to all tasks.
- What is the nature of the work for a Climate Data Specialist at Alignerr?
- The work involves creating and refining real-world environmental science problems to train AI models. It's a freelance, task-based role that offers intellectual stimulation and the opportunity to apply advanced graduate-level expertise to impactful AI projects.