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For Companies At a Glance
- Tasks: Design and solve engineering problems using Python for AI projects.
- Company: Mindrift connects specialists with exciting AI opportunities.
- Benefits: Earn up to $35 per hour, flexible hours, and project-based work.
- Why this job: Make a real impact in AI while honing your material science skills.
- Qualifications: Degree in Material Science and Python proficiency required.
- Other info: Work on innovative projects with leading tech companies.
The predicted salary is between 28000 - 36000 £ per year.
Mindrift connects specialists with project‑based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. Participation is project‑based, not permanent employment.
What This Opportunity Involves
- Design original material engineering problems that simulate real engineering workflows;
- Create problems requiring Python programming to solve engineering calculations and simulations;
- Ensure problems are computationally intensive and require numerical methods or iterative solutions;
- Develop problems involving system design, optimization, and analysis;
- Base problems on real research challenges or practical applications from engineering practice;
- Verify solutions using Python with standard engineering libraries;
- Document problem statements clearly and provide verified correct answers.
What We Look For
- Degree in Material Science or related fields;
- Python proficiency for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain‑specific libraries, Stata, or other programming languages is acceptable;
- 2+ years of professional experience: applied, research, or teaching experience is applicable;
- Understanding of practical engineering constraints and approximations;
- Strong written English (C1+).
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.
Compensation
On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
Material Scientist with Python - Freelance AI Trainer in Glasgow employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Material Scientist with Python - Freelance AI Trainer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to fellow Material Scientists or AI enthusiasts on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a project opportunity just for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to material science. This will give potential clients a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Don’t be shy about applying through our website! We’ve got loads of exciting project-based opportunities waiting for talented folks like you. The more you apply, the better your chances of landing that perfect gig.
✨Tip Number 4
Prepare for interviews by brushing up on common questions related to material science and Python programming. Practice explaining your thought process when solving engineering problems, as this will show your expertise and problem-solving skills.
We think you need these skills to ace Material Scientist with Python - Freelance AI Trainer in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your degree in Material Science and any relevant programming experience. We want to see your Python proficiency shine, so don’t hold back on showcasing your skills with numerical validation and any other languages you know!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your experience and how it relates to the role. We appreciate strong written English, so keep it professional yet approachable.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your responses to the specific requirements of the Material Scientist role. We love seeing how your background aligns with our project-based opportunities.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. Let’s get you started on this exciting journey!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your material science knowledge and Python skills. Be ready to discuss specific engineering problems you've tackled in the past, especially those that required computational methods or numerical solutions.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving AI or programming. Highlight how you designed problems, verified solutions, and documented your findings. Real-world examples will make you stand out!
✨Understand the Role
Familiarise yourself with the specifics of the freelance role. Since it's project-based, be ready to discuss how you manage your time and adapt to varying workloads. Show that you can handle the flexibility and demands of project work.
✨Communicate Clearly
Since strong written English is a must, practice explaining complex concepts in simple terms. During the interview, ensure you articulate your thoughts clearly and concisely, especially when discussing technical details or problem-solving approaches.