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- Tasks: Design challenging physics problems for AI training and write clear solutions.
- Company: Innovative AI training company focused on STEM education.
- Benefits: Competitive pay, flexible hours, and remote work options.
- Other info: Opportunity for growth and potential contract extension.
- 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 (Europe) in London employer: Anyone AI
Contact Detail:
Anyone AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics AI Training Expert (Europe) in London
✨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. You never know who might have a lead or can put in a good word for you.
✨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, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to physics problem design and AI training. Practice explaining your thought process clearly and concisely – we want to see that deep understanding of multi-step analysis!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Physics AI Training Expert (Europe) in London
Some tips for your application 🫡
Show Off Your Physics Skills: Make sure to highlight your expertise in Physics. We want to see how you can design those challenging problems that AI systems struggle with. Use specific examples from your experience to demonstrate your skills!
Be Clear and Precise: When writing your application, clarity is key! We’re looking for well-structured and technically precise writing. Make sure your reasoning process is easy to follow, as this reflects the quality we expect in the role.
Tailor Your Application: Don’t just send a generic application! Tailor it to our job description. Mention your experience with Python and any relevant tools or methods you've used. This shows us you’ve done your homework and are genuinely interested.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
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 ready 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, prepare to showcase your experience with scientific libraries like numpy and scipy. You might be asked to solve a problem on the spot, so practice coding solutions and be ready to explain your thought process.
✨Prepare Rigorous Problem Examples
Think of a few advanced physics problems you've designed or encountered before. Be prepared to walk through your reasoning and how you ensured each problem has one verifiable correct answer. This will highlight your expertise and attention to detail.
✨Communicate Clearly and Effectively
Technical writing skills are crucial for this role. Practice explaining complex ideas in simple terms, as you may need to document your solutions clearly. Good communication can set you apart from other candidates, so make it a priority!