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- Tasks: Train AI models by evaluating outputs and creating datasets for environmental science.
- Company: Leading tech firm focused on climate and ecology solutions.
- Benefits: Flexible remote work, competitive salary, and ongoing opportunities in your field.
- Why this job: Make a real impact on AI and the environment while working from anywhere.
- Qualifications: Degree in Environmental Science or related fields with strong analytical skills.
- Other info: Join a dynamic team dedicated to innovative climate solutions.
The predicted salary is between 28800 - 48000 £ per year.
A leading technology firm is seeking an Earth / Environmental Science Expert to train AI models. You will evaluate outputs, create datasets, and ensure scientific accuracy while enjoying a flexible remote work schedule.
Ideal candidates should hold a degree in Environmental Science or related fields and have strong analytical skills. This position offers ongoing opportunities in climate and ecology.
Remote Environmental AI Training Specialist employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Environmental AI Training Specialist
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental science field on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects or datasets you've worked on. This gives potential employers a taste of what you can bring to the table, especially for a role focused on training AI models.
✨Tip Number 3
Prepare for interviews by brushing up on both technical knowledge and soft skills. We recommend practising common interview questions related to environmental science and AI, so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Remote Environmental AI Training Specialist
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your degree in Environmental Science or any related fields. We want to see how your background makes you the perfect fit for training AI models in this area!
Be Analytical: Since strong analytical skills are key for this role, don’t shy away from showcasing specific examples of how you've used these skills in past experiences. We love seeing real-world applications!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your experience aligns with evaluating outputs and creating datasets. It shows us you’re genuinely interested in the position!
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 during the process!
How to prepare for a job interview at Braintrust
✨Know Your Stuff
Make sure you brush up on your Earth and Environmental Science knowledge. Be ready to discuss recent developments in climate and ecology, as well as how they relate to AI training. This shows that you're not just a candidate with a degree, but someone who's genuinely passionate about the field.
✨Showcase Your Analytical Skills
Prepare examples of how you've used your analytical skills in past roles or projects. Whether it's evaluating data outputs or creating datasets, having concrete examples will help demonstrate your expertise and problem-solving abilities during the interview.
✨Familiarise Yourself with AI Concepts
Even if your background is primarily in environmental science, having a basic understanding of AI concepts can set you apart. Research how AI models are trained and evaluated, and be prepared to discuss how your expertise can enhance this process.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI in environmental science, their current projects, and future opportunities. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
