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- Tasks: Tackle complex environmental challenges and enhance AI model reasoning.
- Company: Forward-thinking tech company in the U.K. with a remote team.
- Benefits: Hourly pay between $75 to $90, flexible work environment.
- Why this job: Make a real impact on climate science while collaborating with AI experts.
- Qualifications: Master’s or PhD in Environmental Science, coding experience in Python or R.
- Other info: Entry-level position with opportunities for growth and development.
The predicted salary is between 13 - 16 £ per hour.
A forward-thinking tech company in the U.K. is seeking an Environmental Science Expert to join their remote team. This entry-level position offers hourly pay ranging from $75 to $90 based on skills. The successful candidate will develop and review complex environmental challenges and enhance AI model reasoning.
Ideal applicants hold a Master’s or PhD in Environmental Science, have coding experience in Python or R, and possess exceptional communication skills. This role involves collaborating with AI researchers and delivering scientifically rigorous outputs.
Remote Climate Scientist & AI Research Collaborator employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Climate Scientist & AI Research Collaborator
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental science and AI fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects in Python or R, especially those related to environmental challenges. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in the climate science and AI sectors. Practice explaining complex concepts in simple terms to demonstrate your communication skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace Remote Climate Scientist & AI Research Collaborator
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the role. We want to see how your background in Environmental Science and coding fits into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about climate science and AI, and how you can contribute to our team. Let us know what excites you about this opportunity!
Show Off Your Coding Skills: Since coding in Python or R is key for this role, don’t forget to mention any projects or experiences where you've used these languages. 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’re considered for this exciting position. 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 the latest trends and challenges in the field. Be ready to discuss how your academic background, whether it's a Master’s or PhD, has prepared you for tackling complex environmental issues.
✨Show Off Your Coding Skills
Since coding experience in Python or R is crucial for this role, be prepared to talk about your projects or any relevant coursework. If possible, bring examples of your code or projects that demonstrate your ability to enhance AI model reasoning.
✨Communicate Clearly
Exceptional communication skills are a must, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively, especially when collaborating with AI researchers who may not have a deep environmental science background.
✨Research the Company
Familiarise yourself with the company’s mission and recent projects. Understanding their approach to environmental challenges and AI will help you tailor your responses and show that you're genuinely interested in being part of their team.
