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- Tasks: Develop complex mechanical problems and create technical solutions for AI models.
- Company: Leading AI research organisation with a focus on innovation.
- Benefits: Competitive pay, flexible work hours, and remote working options.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Advanced degree in mechanical engineering and expertise in solid mechanics.
- Other info: Opportunity to communicate complex concepts and grow your career.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research organization seeks a Mechanical Engineering - AI Data Trainer to develop complex mechanical problems and author technical solutions for AI models. This remote role requires an advanced degree in mechanical engineering and expertise in solid mechanics and analysis.
Candidates should communicate complex concepts clearly and exhibit attention to detail in evaluations and documentation. The position offers competitive pay and flexible work hours.
Remote Mechanical Engineer: AI Data Trainer in Glasgow employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Mechanical Engineer: AI Data Trainer in Glasgow
✨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 previous projects and technical solutions. 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 mechanical engineering and AI. 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 Engineer: AI Data Trainer in Glasgow
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your advanced degree in mechanical engineering and any relevant experience you have. We want to see how your background aligns with the role of an AI Data Trainer, so don’t hold back!
Communicate Clearly: Since this role involves explaining complex concepts, use clear and concise language in your application. We appreciate candidates who can break down technical jargon into understandable terms, so keep that in mind!
Attention to Detail is Key: Double-check your application for any typos or errors. We value precision, especially when it comes to evaluations and documentation, so make sure everything is polished before hitting send.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your solid mechanics and analysis skills. Be ready to discuss complex mechanical problems you've tackled in the past, as well as how you approached developing technical solutions for AI models.
✨Communicate Clearly
Since this role requires clear communication of complex concepts, practice explaining your previous projects or technical solutions in a straightforward manner. Use simple language and avoid jargon where possible to ensure your ideas are easily understood.
✨Attention to Detail is Key
Prepare to showcase your attention to detail during the interview. Bring examples of your evaluations and documentation that highlight your meticulous approach. This could be anything from project reports to design documents.
✨Flexibility and Adaptability
As this is a remote position with flexible hours, be ready to discuss how you manage your time and adapt to different working conditions. Share any experiences where you successfully balanced multiple projects or worked independently to meet deadlines.
