At a Glance
- Tasks: Design and solve real-world climate science problems to train AI models.
- Company: Alignerr, a leader in AI research with a focus on environmental impact.
- Benefits: Fully remote, flexible hours, and the chance to work on meaningful projects.
- Other info: Opportunity for ongoing work and collaboration with top AI researchers.
- Why this job: Make a real difference in climate science while shaping the future of AI.
- Qualifications: Masters or PhD in Environmental Science or related field; Python or R proficiency.
The predicted salary is between 10 - 40 $ per hour.
What if your expertise in climate science could directly shape how AI understands one of the most critical challenges facing our planet? We're looking for environmental science specialists to develop advanced, real-world problems in climate modeling, ecology, and sustainability — helping train the next generation of AI models to reason with scientific precision.
This is a fully remote, flexible contract role built for Masters and PhD-level researchers who want to put their deep domain knowledge to work on something genuinely impactful — without leaving behind the rigor and intellectual challenge they thrive on.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do:
- Design, solve, and review advanced environmental science problems with real-world relevance and scientific depth
- Apply your expertise in climate modeling, ecology, sustainability, or related fields to construct complex, meaningful problem statements
- Evaluate AI-generated scientific reasoning for accuracy, rigor, and clarity
- Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of what AI can understand in your field
- Ensure all deliverables meet a high standard of scientific integrity and communicative clarity
Who You Are:
- Mastors 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
- Exceptionally strong written communicator — you can explain complex science clearly and precisely
- Detail-oriented, rigorous, and self-directed when working independently
- Fluent in English
Nice to Have:
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in scientific writing, peer review, or curriculum development
- Familiarity with AI tools or language model evaluation as an end user
- Experience communicating complex environmental 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
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Apply your scientific expertise to a domain where it creates lasting, real-world impact
- Potential for ongoing work and contract extension as new projects launch
Climate Data Specialist in Vancouver employer: Alignerr Corp.
Alignerr is an exceptional employer for electrical engineering professionals, offering the unique opportunity to work on groundbreaking AI projects from the comfort of your own home. With a fully remote and asynchronous work culture, you can enjoy the flexibility to design challenging problems and author gold-standard solutions while collaborating with a global team. The potential for ongoing work and contract extensions, combined with the chance to gain insider exposure to advanced AI model training, makes Alignerr a rewarding place to advance your career.
