At a Glance
- Tasks: Design and validate computational physics problems for AI projects.
- Company: Leading AI company offering flexible, project-based work.
- Benefits: Earn up to $55/hr with remote flexibility and meaningful tasks.
- Other info: Great opportunity for creative thinkers with strong problem-solving skills.
- Why this job: Contribute to exciting AI projects while applying your physics expertise.
- Qualifications: Degree in Physics and Python proficiency required.
The predicted salary is between 44 - 55 £ per hour.
hackajob is collaborating with a leading client in the AI space and is looking for experienced Physics professionals to contribute to exciting project-based AI opportunities. This is project-based work — not permanent employment — giving you the flexibility to contribute on your own schedule while working on meaningful, well-compensated tasks.
What You'll Be Doing
- You'll help build and validate computational problem sets used to train and evaluate AI models:
- Designing original computational physics problems that simulate real physics research workflows
- Creating problems that require Python (or equivalent) to solve, using NumPy, SciPy, SymPy, and related libraries
- Ensuring problems are computationally intensive and cannot be solved manually within reasonable timeframes
- Developing problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics
- Basing problems on real research challenges or practical applications from physics practice
- Verifying solutions using Python with standard physics simulation libraries
- Documenting problem statements clearly with verified correct answers
Who We're Looking For
- Degree in Physics (Theoretical, Experimental, or Computational) or a related field
- Python proficiency for numerical validation — MATLAB, R, C, SQL, Stata, or other languages also considered
- 2+ years of professional, research, or teaching experience
- Experience with numerical simulation methods
- Ability to design problems that mirror real physics research workflows
- Creative thinking in problem design across diverse physics areas
- Familiarity with physics modelling and approximation techniques
- Strong written English (C1+)
How It Works
- Apply → Pass Qualification(s) → Join a Project → Complete Tasks → Get Paid
Once selected, you'll go through a straightforward onboarding process including platform registration, a short orientation, and ID verification — after which your first task will be ready to go.
Time & Payment
- Up to $55/hour* depending on location, expertise, and project
- Estimated ~10–20 hours/week during active project phases
- Fixed project rates or individual rates, depending on the project
- Some projects include incentive payments
Rates vary based on expertise, skills assessment, location, and project needs. Lower rates may apply during onboarding or non-core phases.
Interested? Submit your CV in English, including your email address, phone number, and English proficiency level.
Apply via this post or reach out directly — we'd love to hear from you!
Physics Specialist in Coventry employer: hackajob
As a Physics Specialist with our leading AI client, you will enjoy the freedom of remote and flexible work while engaging in meaningful projects that challenge your expertise. Our collaborative culture fosters creativity and innovation, providing you with opportunities to grow your skills in a dynamic environment, all while being well-compensated for your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Physics Specialist in Coventry
✨Tip Number 1
Network like a pro! Reach out to fellow physicists and AI enthusiasts on LinkedIn or at local meetups. You never know who might have the inside scoop on project-based opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best computational physics problems and Python projects. This will give potential clients a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Stay flexible and open-minded. Since this is project-based work, be ready to adapt to different tasks and challenges. Embrace the variety and let your creativity shine in problem design!
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get started with exciting AI projects. Plus, we’re always looking for talented individuals like you to join our community.
We think you need these skills to ace Physics Specialist in Coventry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in physics and Python. We want to see how your skills align with the project-based work we're offering, so don’t hold back on showcasing your expertise!
Show Off Your Problem-Solving Skills:When applying, include examples of computational problems you've designed or solved. We love seeing creative thinking, especially if it relates to real-world physics challenges. This will help us understand your approach to problem design.
Keep It Clear and Concise:Your application should be easy to read and straight to the point. Use clear language and structure your information well. We appreciate strong written English, so make sure your application reflects that!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It streamlines the process for us and ensures your application lands in the right hands. We can’t wait to hear from you!
How to prepare for a job interview at hackajob
✨Know Your Physics Inside Out
Make sure you brush up on key concepts in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Be ready to discuss how these areas relate to real-world applications, as this will show your depth of understanding and creativity in problem design.
✨Show Off Your Python Skills
Since Python proficiency is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice using libraries like NumPy and SciPy to validate solutions. Have examples ready that showcase your experience with numerical simulation methods.
✨Prepare Problem-Solving Scenarios
Think about how you would design computational physics problems that reflect real research workflows. Be ready to explain your thought process and how you ensure the problems are computationally intensive. This will highlight your ability to create engaging and challenging tasks.
✨Communicate Clearly and Confidently
Strong written English is a must, so practice articulating your ideas clearly. During the interview, focus on explaining your problem statements and solutions in a straightforward manner. This will demonstrate your ability to document and communicate complex concepts effectively.
