At a Glance
- Tasks: Design challenging physics problems for AI training and create verified solutions.
- Company: Join a leading AI data company focused on STEM education.
- Benefits: Competitive pay, flexible hours, and remote work options.
- Other info: Opportunity for growth and collaboration with top AI labs.
- Why this job: Make a real impact in AI by shaping the future of physics education.
- Qualifications: Degree in Physics and strong Python skills required.
The predicted salary is between 30000 - 40000 £ per year.
Project duration: 2 months, with potential extension
Location: Remote
Type: Contract / Part-time
Commitment: 20 to 40 hours per week
Compensation: Up to 40 USD / hr
Availability: Immediate start
About The Role
We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state‑of‑the‑art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.
What You’ll Do
- Design advanced physics problems for frontier AI training and evaluation
- Create deterministic problems with exactly one correct answer
- Write complete, verified solutions and clearly document the reasoning process
- Develop problems that test deep physical reasoning and multi‑step analysis, not just memorization
- Where relevant, use Python or specialized tools to build simulations, models, or computational workflows
- Ensure all outputs are technically precise, reproducible, and well‑written in English
What We’re Looking For
- Bachelor's, Master’s, or PhD in Physics or a closely related field
- Strong research or industry experience involving theoretical, experimental, or computational physics
- Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar
- Solid understanding of modeling, simulation, numerical methods, and multi‑step problem solving
- Ability to design original, difficult problems that reflect real physics workflows
- Excellent attention to detail and technical writing skills in English
Nice to Have
- Experience with simulation tools or domain‑specific physics software (e.g., finite element tools, circuit simulators, symbolic systems)
- Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields
- Experience evaluating model reasoning, benchmarking, or designing technical assessments
Physics - AI Training Expert (United Kingdom) employer: Anyone AI
As a leading provider of high-quality STEM training data for AI models, we offer a unique opportunity for Physics experts to contribute to cutting-edge advancements in artificial intelligence. Our remote work culture promotes flexibility and autonomy, allowing you to engage in meaningful projects that challenge your expertise while enjoying the benefits of a supportive team environment. With competitive compensation and the potential for contract extension, this role not only enhances your professional growth but also places you at the forefront of AI development in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Physics - AI Training Expert (United Kingdom)
✨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 opportunities, and who knows? They might just have a lead or two that could land you that perfect gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best physics problems and solutions. This is your chance to demonstrate your expertise and creativity, making it easier for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to physics problem design and AI training. Practice articulating your thought process clearly, as this will help you stand out when discussing your approach to creating challenging problems.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about working with us. It shows initiative and gives you a better chance of getting noticed in the crowd.
We think you need these skills to ace Physics - AI Training Expert (United Kingdom)
Some tips for your application 🫡
Show Off Your Physics Skills:Make sure to highlight your expertise in physics right from the start. We want to see how your background and experience align with the role, so don’t hold back on showcasing your knowledge and any relevant projects you've worked on.
Be Clear and Precise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless necessary. We appreciate well-structured responses that are easy to read and understand, especially when it comes to technical details.
Demonstrate Problem-Solving Ability:Since the role involves designing challenging physics problems, include examples of past work where you’ve tackled complex issues. We love seeing how you approach problem-solving and the thought process behind your solutions.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Anyone AI
✨Know Your Physics Inside Out
Make sure you brush up on your physics knowledge, especially in areas like computational physics and quantum mechanics. Be prepared to discuss complex concepts and demonstrate your ability to design challenging problems that reflect real-world scenarios.
✨Show Off Your Python Skills
Since strong Python skills are a must, be ready to showcase your experience with scientific libraries like numpy and scipy. You might even want to prepare a small project or example that highlights your ability to use these tools effectively in problem-solving.
✨Prepare for Technical Writing
As technical writing is crucial for this role, practice explaining your thought process clearly and concisely. You may be asked to write a solution during the interview, so ensure you can articulate your reasoning in a well-structured manner.
✨Think Like an AI Trainer
Understand what makes a good training problem for AI systems. Be ready to discuss how you would create deterministic problems with one correct answer and how you would evaluate their effectiveness in improving model reasoning.
