At a Glance
- Tasks: Solve real-world environmental science problems and collaborate with AI researchers.
- Company: Join Alignerr, a leader in AI research and innovation.
- Benefits: Earn $75-$90/hr, work remotely, and gain valuable experience.
- Why this job: Make a difference in climate science while working with cutting-edge AI technology.
- Qualifications: Master’s or PhD in Environmental Science and coding skills in Python or R.
- Other info: Flexible hours with opportunities for professional growth.
The predicted salary is between 56 - 67 £ per hour.
Join to apply for the Climate Data Specialist role at Alignerr.
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.
Role Responsibilities (Training Support Will Be Provided)
- Develop, solve, and review advanced environmental science problems with real‑world relevance.
- Apply expertise in climate modeling, ecology, sustainability, or related areas to design complex problem statements.
- Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.
- Ensure scientific rigor, clarity, and depth across all deliverables.
Requirements
- Master’s or PhD in Environmental Science or a related field from a top U.S. university (or equivalent).
- Experience coding in Python or R for research or projects.
- Strong expertise in climate modeling, ecology, or sustainability.
- Exceptional written and verbal communication skills with strong attention to detail.
- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
Application Process (takes 15‑20 min)
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Climate Data Specialist employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Climate Data Specialist
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental science field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Climate Data Specialist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in climate modeling or sustainability. This gives us a chance to see your expertise in action and makes you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to environmental science and AI. We recommend practising with a friend or using mock interview platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way to get your application seen by our team. Plus, we review applications daily, so you won’t be left waiting long!
We think you need these skills to ace Climate Data Specialist
Some tips for your application 🫡
Craft a Tailored Resume: Make sure your resume highlights your expertise in environmental science and any relevant coding experience. We want to see how your skills align with the Climate Data Specialist role, so don’t hold back on showcasing your achievements!
Nail the Screening Questions: When you get to the screening stage, take your time to answer thoughtfully. This is your chance to show us your passion for climate science and how you can contribute to our AI projects. Be clear and concise!
Show Off Your Communication Skills: Since exceptional written communication is key for this role, make sure your application materials are well-organised and free of errors. We love clarity and depth, so let your personality shine through while keeping it professional.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your environmental science knowledge, especially in climate modeling and sustainability. Be ready to discuss specific projects or research you've done that relates to the role.
✨Show Off Your Coding Skills
Since coding in Python or R is a requirement, prepare to talk about your experience with these languages. Bring examples of how you've used them in your work, especially in relation to data analysis or climate modelling.
✨Communicate Clearly
Exceptional communication skills are key for this role. Practice explaining complex concepts in simple terms, as you'll need to collaborate with AI researchers and domain experts. Think about how you can convey your ideas clearly and effectively.
✨Ask Smart Questions
Prepare thoughtful questions about Alignerr's projects and their approach to AI in environmental science. This shows your genuine interest in the role and helps you understand if it's the right fit for you.