Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop complex engineering problems and evaluate AI performance remotely.
- Company: Leading tech company focused on innovative AI solutions.
- Benefits: Competitive pay, flexible hours, and remote work opportunities.
- Why this job: Join a dynamic team and work on cutting-edge AI projects.
- Qualifications: Advanced degree in Mechanical Engineering or related field required.
- Other info: No prior AI experience needed; diverse applicants encouraged.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company seeks a Mechanical Engineering - AI Data Trainer to develop complex engineering problems and evaluate AI performance. Candidates should hold an advanced degree in Mechanical Engineering or a related field, with strong analytical writing skills and attention to detail. This remote role offers competitive pay and flexible hours while allowing you to collaborate on cutting-edge AI projects. No prior AI experience is required, allowing for a diverse pool of applicants.
Remote Mechanical Engineer: AI Data Trainer in Oxford 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 Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the mechanical engineering and AI fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for virtual interviews by practising common questions related to mechanical engineering and AI. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your engineering work and any relevant AI projects, even if they’re personal or academic. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance of getting noticed. Plus, it’s super easy!
We think you need these skills to ace Remote Mechanical Engineer: AI Data Trainer in Oxford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced degree in Mechanical Engineering or any related field. We want to see your strong analytical writing skills, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your application for the role. Mention how your experience aligns with developing complex engineering problems and evaluating AI performance. This helps us see why you’re the perfect fit!
Be Detail-Oriented: Attention to detail is key! Double-check your application for any typos or errors. A polished application shows us that you care about quality and professionalism.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Alignerr
✨Know Your Engineering Fundamentals
Brush up on your mechanical engineering principles and be ready to discuss how they apply to AI data training. We recommend reviewing key concepts and recent advancements in the field, as this will help you demonstrate your expertise and analytical skills during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical engineering problems during the interview. We suggest practising with common scenarios that require analytical thinking. This will not only highlight your technical abilities but also your approach to complex challenges, which is crucial for the role.
✨Highlight Attention to Detail
Since attention to detail is essential for evaluating AI performance, we advise you to prepare examples from your past experiences where your meticulousness made a difference. Be ready to discuss how you ensure accuracy in your work, especially when dealing with complex data sets.
✨Emphasise Your Collaborative Spirit
This role involves working on cutting-edge AI projects, so it's important to convey your ability to collaborate effectively. We recommend sharing experiences where you successfully worked in teams, especially in remote settings, to show that you can thrive in a flexible work environment.
