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- Tasks: Design challenging physics problems for AI training and write detailed solutions.
- Company: Innovative company creating high-quality STEM data for AI models.
- Benefits: Competitive pay, flexible hours, and remote work options.
- Other info: Opportunity to work on cutting-edge AI projects with potential for extension.
- Why this job: Make a real impact on AI development while using your physics expertise.
- 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) 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 (United Kingdom) 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 will not only demonstrate your expertise but also give potential employers a taste of 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 explaining your thought process clearly and concisely, as communication is key in this role.
✨Tip Number 4
Don't forget to 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 (United Kingdom) in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your qualifications in Physics and any relevant experience you have. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Be Clear and Precise: When writing your application, clarity is key. Use straightforward language and ensure your ideas are well-structured. Remember, we’re looking for technically precise and reproducible outputs, so let that reflect in your writing.
Tailor Your Application: Don’t just send a generic application! Tailor your responses to match the job description. Mention specific skills like Python proficiency or experience with simulations that relate directly to what we’re looking for.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us!
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 talk about your experience with scientific libraries like numpy and scipy. You might even want to prepare a small coding example or two that showcases your ability to build simulations or models relevant to the role.
✨Prepare Rigorous Problem Examples
Think of a few advanced physics problems you've designed in the past. Be ready to explain your reasoning process and how you ensured each problem had one verifiable correct answer. This will show your capability to create deterministic problems for AI training.
✨Communicate Clearly and Precisely
Since technical writing is key, practice explaining complex ideas in a clear and concise manner. During the interview, focus on articulating your thought process and solutions in a way that's easy to understand, demonstrating your attention to detail.