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- Tasks: Develop and solve real-world environmental problems while collaborating with AI researchers.
- Company: Leading AI research partner focused on innovative climate solutions.
- Benefits: Competitive pay of $75–$90/hour, flexible hours, and remote work.
- Why this job: Make a significant impact on climate change through cutting-edge AI research.
- Qualifications: Master’s or PhD in Environmental Science with coding skills in Python or R.
- Other info: Flexible position requiring 10–40 hours per week, perfect for balancing studies.
The predicted salary is between 56 - 67 £ per hour.
A leading AI research partner seeks an Environmental Science Expert for a remote role, paying $75–$90/hour. The ideal candidate will have a Master’s or PhD in Environmental Science and experience in climate modeling or ecology.
Responsibilities include:
- Developing real-world relevant environmental problems
- Collaborating with AI researchers
Strong communication skills and coding abilities in Python or R are essential. This is a flexible position requiring 10–40 hours per week.
Remote Climate Modeling Expert for AI Research in London employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Climate Modeling Expert for AI Research in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the climate modelling and AI research fields. Use platforms like LinkedIn to connect with people who work at companies you're interested in, and don't be shy about asking for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work in climate modelling or ecology. Include any relevant projects, papers, or coding samples in Python or R that demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Prepare for those interviews! Research common questions related to environmental science and AI. Practice articulating how your background aligns with the role and be ready to discuss real-world environmental problems you've tackled.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like this one. Keep an eye on our job listings and don’t hesitate to submit your application directly through us for the best chance of landing that dream job.
We think you need these skills to ace Remote Climate Modeling Expert for AI Research in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in climate modeling and ecology. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about environmental science and how you can contribute to our AI research. Keep it engaging and personal.
Show Off Your Coding Skills: Since coding in Python or R is essential for this role, include any relevant projects or experiences that demonstrate your proficiency. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your environmental science knowledge, especially around climate modelling and ecology. Be ready to discuss specific projects you've worked on and how they relate to real-world problems. This will show that you’re not just knowledgeable but also practical.
✨Show Off Your Coding Skills
Since coding in Python or R is essential for this role, be prepared to talk about your experience with these languages. Maybe even bring a small project or example of your code to demonstrate your skills. It’s a great way to stand out!
✨Communicate Clearly
Strong communication skills are key, especially when collaborating with AI researchers. Practice explaining complex concepts in simple terms. You want to show that you can bridge the gap between environmental science and AI effectively.
✨Flexibility is Key
This role offers flexible hours, so be ready to discuss how you manage your time and work independently. Share examples of how you’ve successfully balanced multiple projects or deadlines in the past. This will highlight your ability to thrive in a remote setting.
