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- Tasks: Design engineering problems and validate AI solutions using Python.
- Company: Dynamic tech consultancy in the UK with exciting projects.
- Benefits: Competitive pay up to $35/hour and flexible project-based work.
- Why this job: Join a cutting-edge team and shape the future of AI in engineering.
- Qualifications: Degree in Mechanical Engineering and 3+ years of experience required.
- Other info: Perfect for those seeking part-time work with impactful projects.
The predicted salary is between 26 - 35 £ per hour.
A tech consultancy in the United Kingdom is seeking experienced mechanical engineers for part-time, project-based opportunities focused on AI evaluation.
Responsibilities include:
- Designing engineering problems
- Validating AI solutions using Python
Ideal candidates must have:
- A degree in Mechanical Engineering
- 3+ years of experience
- Strong written English skills
Pay rates can reach up to $35/hour based on expertise and project needs.
Part-Time Mechanical Engineer AI Trainer — Project-Based employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Part-Time Mechanical Engineer AI Trainer — Project-Based
✨Tip Number 1
Network like a pro! Reach out to fellow engineers and industry contacts on LinkedIn. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your engineering projects, especially those involving AI and Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to mechanical engineering and AI. We recommend practising with a friend or using online resources 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 by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Part-Time Mechanical Engineer AI Trainer — Project-Based
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 3+ years of experience in mechanical engineering. We want to see how you've tackled engineering problems in the past, so don’t hold back on those details!
Tailor Your Application: Customise your application to fit the job description. Mention your skills in Python and any relevant projects you've worked on that relate to AI evaluation. This helps us see why you're a great fit!
Keep It Clear and Concise: Strong written English skills are a must, so make sure your application is easy to read. Use clear language and avoid jargon unless it’s necessary. We appreciate straightforward communication!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Mindrift
✨Know Your Engineering Basics
Brush up on your mechanical engineering fundamentals. Be ready to discuss specific engineering problems you've tackled in the past and how you approached them. This will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Since the role involves validating AI solutions using Python, be prepared to talk about your programming experience. Bring examples of projects where you've used Python to solve engineering challenges, and if possible, demonstrate your coding skills during the interview.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Practice articulating your thought process clearly and logically, as this will highlight your analytical skills and how you approach complex engineering issues.
✨Communicate Effectively
Strong written English skills are a must, so practice explaining technical concepts in simple terms. During the interview, focus on clear communication, and don’t hesitate to ask for clarification if you don’t understand a question. This shows your willingness to engage and ensures you’re on the same page.
