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- Tasks: Develop advanced problems for AI training and provide technical solutions.
- Company: Dynamic technology firm at the forefront of AI development.
- Benefits: Competitive pay, flexible hours, and remote work options.
- Why this job: Contribute to innovative AI projects and refine cutting-edge technology.
- Qualifications: Master’s or PhD in Mechanical Engineering or related field required.
- Other info: Flexible commitment of 10–40 hours per week.
The predicted salary is between 13 - 16 £ per hour.
A dynamic technology firm is seeking a Mechanical Engineering - AI Data Trainer to develop advanced problems for AI training and provide technical solutions. Candidates should have a Master’s or PhD in Mechanical Engineering or a related field. This role is remote and offers competitive pay, with a commitment of 10–40 hours per week. You will assess AI logic for accuracy and refine its reasoning. Join a team at the forefront of AI development as you contribute to innovative projects.
Remote Mechanical AI Data Trainer (Contract) employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Mechanical AI Data Trainer (Contract)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and mechanical engineering fields on platforms like LinkedIn. A friendly message can open doors to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work, especially any projects related to AI or mechanical engineering. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI training and mechanical engineering. We recommend practising with a friend or using mock interview tools 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 seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote Mechanical AI Data Trainer (Contract)
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your Master’s or PhD in Mechanical Engineering or any related field. We want to see how your background makes you the perfect fit for developing advanced problems for AI training.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the role of a Mechanical AI Data Trainer. We love seeing candidates who put in the effort!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and how you can contribute to our innovative projects.
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’re considered for this exciting opportunity in AI development!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your mechanical engineering principles and AI concepts. Be ready to discuss specific problems you've solved in the past, especially those that relate to AI training. This shows you’re not just knowledgeable but also practical.
✨Showcase Your Projects
Prepare to talk about any relevant projects or research you've done, particularly those involving AI or data training. Bring examples of how you’ve developed advanced problems for AI systems, as this will demonstrate your hands-on experience and creativity.
✨Ask Smart Questions
Don’t forget to prepare insightful questions about the company’s current AI projects and their future direction. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
✨Be Ready for Technical Challenges
Expect some technical questions or scenarios during the interview. Practice explaining your thought process clearly and logically, as they’ll want to see how you assess AI logic and refine reasoning under pressure.
