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For Companies At a Glance
- Tasks: Design and evaluate mechanical engineering problems while improving AI systems.
- Company: Mindrift connects specialists with exciting AI projects for top tech companies.
- Benefits: Earn up to $35/hour, flexible hours, and work on diverse projects.
- Why this job: Make a real impact in AI while applying your engineering skills.
- Qualifications: Degree in Mechanical Engineering and strong Python skills required.
- Other info: Part-time, project-based work with opportunities for professional growth.
The predicted salary is between 26 - 30 £ per hour.
Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What This Opportunity Involves
While each project involves unique tasks, contributors may:
- Design graduate- and industry-level mechanical engineering problems grounded in real practice
- Evaluate AI-generated solutions for correctness, assumptions, and engineering logic
- Validate analytical or numerical results using Python (NumPy, SciPy, Pandas)
- Improve AI reasoning to align with first principles and accepted engineering standards
- Apply structured scoring criteria to assess multi-step problem solving.
What We Look For
This opportunity is a good fit for mechanical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:
- Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc.
- 3+ years of professional mechanical engineering experience
- Strong written English (C1/C2)
- Strong Python proficiency for numerical validation
- Stable internet connection
- Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage.
How It Works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Payment
Paid contributions, with rates up to $35/hour* Fixed project rate or individual rates, depending on the project. Some projects include incentive payments. Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.
Freelance Mechanical Engineer with Python Experience - AI Trainer employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Mechanical Engineer with Python Experience - AI Trainer
✨Tip Number 1
Network like a pro! Reach out to fellow engineers and AI enthusiasts on LinkedIn or at industry events. You never know who might have the inside scoop on project-based opportunities that aren't advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best mechanical engineering projects and Python work. This will give potential clients a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Stay flexible and open-minded. Since these are project-based roles, being adaptable to different tasks and challenges will make you a more attractive candidate. Plus, it shows you're ready to dive into whatever comes your way!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting projects waiting for talented engineers like you. The more you put yourself out there, the better your chances of landing that perfect gig.
We think you need these skills to ace Freelance Mechanical Engineer with Python Experience - AI Trainer
Some tips for your application 🫡
Craft a Tailored CV: Make sure your CV highlights your mechanical engineering experience and Python skills. Tailor it to reflect the specific requirements mentioned in the job description, like your proficiency in NumPy or SciPy.
Show Off Your English Skills: Since strong written English is a must, ensure your CV is clear and free of errors. If you have certifications or experiences that showcase your English proficiency, don’t forget to include them!
Highlight Relevant Projects: If you've worked on any projects that involved AI or numerical validation, make sure to mention them. This will show us that you’re not just a great engineer but also someone who can contribute to improving AI systems.
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 as quickly as possible!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your mechanical engineering principles, especially in areas like thermodynamics and fluid mechanics. Be ready to discuss how you've applied these concepts in real-world scenarios, as this will show your practical experience.
✨Python Proficiency is Key
Since Python is a big part of the role, be prepared to demonstrate your skills with libraries like NumPy, SciPy, and Pandas. You might even want to bring examples of past projects where you've used Python for numerical validation or data analysis.
✨Communicate Clearly
With strong written English being a requirement, practice articulating your thoughts clearly and concisely. You may be asked to explain complex engineering concepts, so make sure you can do this in a way that's easy to understand.
✨Show Your Flexibility
Since this is a project-based role, highlight your ability to adapt to different tasks and environments. Share examples of how you've successfully managed multiple projects or adapted to changing requirements in your previous roles.
