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- Tasks: Develop and assess complex engineering problems for AI models.
- Company: Leading AI research firm focused on innovation.
- Benefits: Competitive pay, flexible remote work, and collaboration on cutting-edge projects.
- Why this job: Join a dynamic team and shape the future of AI in engineering.
- Qualifications: Advanced degree in Mechanical or Aerospace Engineering and strong analytical writing skills.
- Other info: Exciting opportunity to work with innovative AI technology.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research firm is seeking a Mechanical Engineering - AI Data Trainer to develop and assess complex engineering problems for AI models. Candidates should have an advanced degree in Mechanical or Aerospace Engineering and strong analytical writing skills.
The role offers competitive pay and flexible remote working conditions, focusing on collaboration with cutting-edge AI projects. Prior experience with engineering software is preferred but not required.
Remote Mechanical AI Data Trainer (Contract) in Glasgow employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Mechanical AI Data Trainer (Contract) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and engineering fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for virtual interviews by setting up a professional backdrop and testing your tech. We want you to shine, so practice common interview questions related to mechanical engineering and AI data training.
✨Tip Number 3
Showcase your skills with a portfolio! If you've worked on any projects or have experience with engineering software, compile them into a neat presentation. This will help us see your practical abilities in action.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Remote Mechanical AI Data Trainer (Contract) in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced degree in Mechanical or Aerospace Engineering. We want to see how your background aligns with the role, so don’t hold back on showcasing your analytical writing skills!
Tailor Your Application: When applying, customise your CV and cover letter to reflect the specific requirements of the job. We love seeing candidates who take the time to connect their experience with what we’re looking for in a Mechanical AI Data Trainer.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to read and free from jargon. This will help us understand your thought process better!
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 in AI projects.
How to prepare for a job interview at Alignerr
✨Know Your Engineering Stuff
Make sure you brush up on your mechanical and aerospace engineering principles. Be ready to discuss complex engineering problems you've tackled in the past, as this will show your analytical skills and how you can contribute to AI models.
✨Show Off Your Writing Skills
Since strong analytical writing is key for this role, prepare to showcase your writing abilities. Bring examples of reports or papers you've written that demonstrate your ability to communicate complex ideas clearly and effectively.
✨Familiarise Yourself with AI Concepts
Even if you don't have direct experience with AI, it’s a good idea to understand the basics. Research how AI models work and think about how your engineering expertise can enhance these systems. This will help you engage in meaningful discussions during the interview.
✨Prepare Questions About Collaboration
This role focuses on collaboration with cutting-edge AI projects, so come prepared with questions about team dynamics and project workflows. This shows your interest in working together and helps you gauge if the company culture aligns with your values.
