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 flexible hours and meaningful tasks.
- Other info: Great opportunity for creative thinkers with strong problem-solving skills.
- Why this job: Make a real impact in AI while working on exciting physics challenges.
- 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. Please note: receiving an invitation does not mean you've started earning. Earnings begin once you are actively completing tasks on an active project.
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!
Locations
Water specialist in Bath, Somerset employer: hackajob
As a Water Specialist with our innovative AI-focused company, you'll enjoy the flexibility of project-based work that allows you to contribute on your own schedule while engaging in meaningful tasks that challenge your expertise. Our supportive work culture fosters creativity and collaboration, providing ample opportunities for professional growth and development in the rapidly evolving field of AI. Join us to be part of a dynamic team that values your contributions and offers competitive compensation for your skills.
StudySmarter Expert Advice🤫
We think this is how you could land Water specialist in Bath, Somerset
✨Tip Number 1
Network like a pro! Reach out to your connections in the physics and AI fields. Let them know you're on the lookout for project-based work. You never know who might have a lead or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best computational physics problems and any relevant projects you've worked on. 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 use it to expand your skill set while working on exciting projects.
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed. Make sure your CV highlights your Python proficiency and experience with numerical simulations. We want to see how you can contribute to our exciting AI projects!
We think you need these skills to ace Water specialist in Bath, Somerset
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your physics expertise and Python skills. We want to see how your experience aligns with the project-based work we're offering, so don’t hold back on showcasing relevant projects or research!
Show Off Your Problem-Solving Skills:In your application, give us a taste of your creative thinking! Share examples of computational problems you've designed or tackled in the past. This will help us see how you approach real physics challenges.
Be Clear and Concise:When documenting your experiences, clarity is key. Use straightforward language and structure your information well. We appreciate strong written English, so make sure your application reflects that!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands quickly. We can’t wait to hear from you!
How to prepare for a job interview at hackajob
✨Know Your Physics
Brush up on your physics knowledge, especially in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Be ready to discuss how you can design computational problems that reflect real research workflows.
✨Show Off Your Python Skills
Make sure you can demonstrate your proficiency in Python or any equivalent language. Prepare to talk about your experience with libraries like NumPy, SciPy, and SymPy, and be ready to solve a problem on the spot if asked.
✨Think Creatively
During the interview, showcase your creative thinking in problem design. Think of unique ways to approach physics challenges and be prepared to explain your reasoning process clearly.
✨Communicate Clearly
Since strong written English is a must, practice articulating your thoughts clearly and concisely. You might be asked to document a problem statement, so being able to express complex ideas simply will be a big plus.
