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- Tasks: Design advanced engineering problems and audit AI-generated logic.
- Company: Leading AI research partner with a focus on innovation.
- Benefits: Competitive pay, flexible remote work, and potential contract extensions.
- Why this job: Join a cutting-edge team and shape the future of AI in engineering.
- Qualifications: Advanced degree in Mechanical Engineering and strong analytical writing skills.
- Other info: Exciting opportunity for growth in a dynamic field.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research partner seeks a Mechanical Engineering - AI Data Trainer. This role requires an advanced degree in Mechanical Engineering and involves designing advanced engineering problems, authoring solutions for AI benchmarks, and auditing AI-generated logic.
Candidates must possess strong foundational knowledge in mechanics and analytical writing skills. The position offers competitive pay and flexible remote work opportunities and may lead to contract extensions.
Remote Mechanical Engineering AI Data Trainer in Cambridge employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Mechanical Engineering AI Data Trainer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and Mechanical Engineering fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your engineering projects and any AI-related work. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and Mechanical Engineering. We recommend doing mock interviews with friends or using online platforms 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 Mechanical Engineering AI Data Trainer in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced degree in Mechanical Engineering and any relevant experience. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love it when candidates take the time to connect their skills with what we’re looking for!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate analytical writing skills, so make sure your ideas flow logically and are easy to understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Alignerr
✨Know Your Mechanics
Brush up on your foundational knowledge in mechanics. Be prepared to discuss specific engineering problems you've tackled and how you approached them. This will show your depth of understanding and ability to apply concepts practically.
✨Showcase Your Analytical Writing Skills
Since the role involves authoring solutions for AI benchmarks, practice articulating complex ideas clearly and concisely. Bring examples of your writing or reports that demonstrate your analytical skills and ability to communicate technical information effectively.
✨Familiarise Yourself with AI Logic
Understand the basics of AI-generated logic and be ready to discuss how you would audit it. Research common pitfalls in AI logic related to mechanical engineering and think about how you would address these issues in your role.
✨Prepare Questions About Remote Work
Since this position offers flexible remote work opportunities, prepare thoughtful questions about team dynamics, communication tools, and project management in a remote setting. This shows your interest in how the company operates and your readiness to adapt to their work culture.
