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- Tasks: Design and evaluate complex mechanical engineering problems using Python.
- Company: Join Mindrift, where innovation meets opportunity in AI.
- Benefits: Earn up to $35/hour, fully remote, flexible hours.
- Why this job: Shape the future of AI with your engineering expertise.
- Qualifications: Bachelor's or higher in Mechanical Engineering and strong Python skills.
- Other info: Work on challenging, real-world problems with a global impact.
The predicted salary is between 28 - 35 £ per hour.
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real‑world expertise from across the globe.
We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real‑world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development.
What You'll Do
- 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
How To Apply
Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization.
Effort estimate
Tasks for this project are estimated to take 6‑10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Requirements
- Bachelor's, Master's, or PhD in Mechanical Engineering or closely related field
- Strong Python proficiency for numerical validation
- 3+ years professional or advanced academic experience in one or more of:
- Thermodynamics, Heat Transfer, Fluid Mechanics
- Solid Mechanics, Dynamics & Vibration
- Mechanical Design, Machine Elements
- FEA, CFD, Computational Mechanics
- Manufacturing Processes, CAD/CAE, Thermal Systems
Benefits
- Earn up to $35/hour for your expertise
- Fully remote, flexible, part‑time freelance work
- Contribute to how future AI systems reason about mechanical engineering
- Work on technically rigorous, non‑routine problems
Mechanical Engineer with Python Experience - Freelance AI Trainer employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mechanical Engineer with Python Experience - Freelance AI Trainer
✨Tip Number 1
Network like a pro! Reach out to fellow engineers and AI enthusiasts on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and discover hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and mechanical engineering work. This will give potential clients a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Don’t just apply, connect! When you find a project that excites you, reach out directly to the hiring manager or team. A personal touch can make all the difference and show your genuine interest in the role.
✨Tip Number 4
Keep it flexible! Since this is freelance work, be open to different types of projects and timelines. Flexibility can lead to more opportunities and help you build a diverse portfolio.
We think you need these skills to ace Mechanical Engineer with Python Experience - Freelance AI Trainer
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your mechanical engineering experience and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Problem-Solving Skills: In your application, give examples of complex engineering problems you've tackled. We love seeing how you apply your professional judgment and engineering rigor in real-world scenarios, so let us know what you've done!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and why you're a great fit for this freelance role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and match you with exciting AI projects that suit your expertise.
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your mechanical engineering principles and Python skills. Be ready to discuss specific projects where you've applied these skills, especially in real-world scenarios. This will show that you not only understand the theory but can also apply it practically.
✨Prepare for Problem-Solving Questions
Expect to tackle complex engineering problems during the interview. Practice explaining your thought process clearly and logically. Use examples from your past work to demonstrate how you approach problem-solving, especially when evaluating AI-generated solutions.
✨Familiarise Yourself with AI Concepts
Since this role involves training AI models, it’s a good idea to have a basic understanding of AI principles and how they relate to mechanical engineering. Brush up on how AI can be used in your field and think about how you would improve AI reasoning based on first principles.
✨Showcase Your Communication Skills
As you'll be working remotely and possibly collaborating with diverse teams, strong communication is key. Be prepared to discuss how you convey complex ideas to non-engineers and how you ensure clarity in your evaluations and feedback.
