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- Tasks: Review and enhance AI models in the automotive sector from the comfort of your home.
- Company: Leading AI training organisation focused on innovation and excellence.
- Benefits: Flexible hours, continuous project engagement, and a chance to shape the future of automotive AI.
- Why this job: Join a cutting-edge team and make a real difference in AI technology.
- Qualifications: Degree in Automotive Engineering and strong analytical skills required.
- Other info: Engaging projects with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI training organization seeks an Automotive Engineering Expert to review and improve AI models remotely. The role involves evaluating AI outputs and creating relevant content.
Ideal candidates will have:
- a degree in Automotive Engineering,
- exceptional analytical and communication skills,
- an ability to manage complex ideas simply.
This position offers flexible hours and continuous project engagement.
Remote Automotive AI Training Specialist in London employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Automotive AI Training Specialist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the automotive and AI fields. You never know who might have a lead on a job or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work in automotive engineering and AI. This will help you stand out and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and automotive engineering. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote Automotive AI Training Specialist in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your degree in Automotive Engineering and any relevant experience you have. We want to see how your background makes you the perfect fit for this role!
Keep It Clear and Concise: When you're writing your application, remember to keep your ideas simple and straightforward. We love candidates who can communicate complex concepts clearly, so don’t overcomplicate things!
Tailor Your Content: Don’t just send a generic application! Take the time to tailor your content to our job description. Show us how your skills align with what we’re looking for in an Automotive AI Training Specialist.
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 us!
How to prepare for a job interview at Braintrust
✨Know Your Stuff
Make sure you brush up on your automotive engineering knowledge. Be ready to discuss specific AI models and how they relate to the automotive industry. This will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Analytical Skills
Prepare examples of how you've evaluated AI outputs in the past. Think about times when you had to simplify complex ideas for different audiences. This will demonstrate your analytical prowess and communication skills, which are key for this role.
✨Be Ready for Scenario Questions
Expect questions that ask how you would handle specific situations related to AI training in automotive contexts. Practise articulating your thought process clearly and concisely, as this will highlight your ability to manage complex ideas simply.
✨Emphasise Flexibility and Engagement
Since the role offers flexible hours and continuous project engagement, be prepared to discuss how you manage your time effectively. Share examples of how you’ve successfully juggled multiple projects or adapted to changing priorities in previous roles.
