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 Belfast 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 Belfast
✨Tip Number 1
Network like a pro! Reach out to fellow physicists or AI enthusiasts on LinkedIn and join relevant groups. 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 computational physics problems and any 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
Be proactive! Don’t just wait for job postings; reach out to companies in the AI space directly. Express your interest in contributing to their projects and highlight your unique skills.
✨Tip Number 4
Apply through our website! It’s super easy and ensures your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join exciting projects.
We think you need these skills to ace Physics Specialist in Belfast
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:Since you'll be designing computational problems, include examples of past projects or challenges you've tackled. We love seeing creative thinking, so let us know how you approached complex physics problems!
Keep It Clear and Concise:When documenting your experiences, clarity is key! Use straightforward language and bullet points to make it easy for us to read through your application. Remember, we’re looking for strong written English skills!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
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 some examples ready that showcase your numerical simulation methods.
✨Prepare Problem Sets
Think about how you would design computational physics problems that reflect real research workflows. Bring a few examples to the interview that highlight your ability to create complex, computationally intensive problems that require non-trivial reasoning chains.
✨Communicate Clearly
Strong written English is a must, so practice articulating your thoughts clearly and concisely. Be prepared to document your problem statements and solutions effectively, as clear communication is key in collaborative projects.
