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- Tasks: Use your physics expertise to train AI systems and improve their problem-solving skills.
- Company: SME Careers connects experts with flexible, remote opportunities in AI development.
- Benefits: Set your own hours, receive weekly pay, and earn rewards for referrals.
- Why this job: Shape the future of AI while working independently and making a real impact.
- Qualifications: PhD in Physics, experience in complex math content, and excellent writing skills.
- Other info: Join a dynamic team and enjoy a fully remote work environment.
The predicted salary is between 36000 - 60000 £ per year.
Are you excited about using your physics expertise to train the next generation of AI? At SME Careers, we connect subject‑matter experts with flexible, remote opportunities in AI development and training. Join SME Careers on a groundbreaking AI‑driven project where your physics knowledge will directly shape how AI systems learn to solve problems and reason in physics. This is a fully remote, flexible role where you can apply your analytical skills, work independently, and make a measurable impact.
About the Role
We’re seeking physicists to join our AI training project. In this role, you will review AI‑generated responses, evaluate the reasoning quality and step‑by‑step problem‑solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact‑check physics information; write high‑quality physics explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on physics correctness and reasoning quality.
This role is perfect if you:
- Enjoy applying physics reasoning to evaluate and improve AI capabilities.
- Like working independently while collaborating with a distributed team.
- Thrive on problem‑solving and identifying errors in logical reasoning.
Your Profile
- You hold a PhD in Chemistry from a top‑100 university.
- You have developed or critically reviewed complex math content (e.g., problem banks, proofs, textbook sections, research notes).
- Published in a peer‑reviewed journal.
- English proficiency C1 and above with excellent writing skills.
Why Work with SME Careers?
- Shape the Future of AI: Your work directly contributes to how AI systems learn and communicate.
- Your Schedule, Your Rules: Set your own hours and work around your life.
- Weekly Pay: Receive fast, reliable weekly payments once your work is approved, ensuring consistency and reliability in your work.
- Community Rewards: Help grow our network and get rewarded for your referrals — with ongoing passive income for every hire you refer.
Seniority level: Mid‑Senior level
Employment type: Contract
Job function: Training and Research
Industries: Technology, Information and Internet
Physicist (PhD) for AI Data Training in England employer: SME Careers
Contact Detail:
SME Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physicist (PhD) for AI Data Training in England
✨Tip Number 1
Network like a pro! Reach out to fellow physicists and AI enthusiasts on LinkedIn or at conferences. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your physics projects, research, or any relevant work. This will give potential employers a taste of what you can bring to the table, especially in AI data training.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and physics. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Physicist (PhD) for AI Data Training in England
Some tips for your application 🫡
Show Off Your Physics Passion: When you're writing your application, let your enthusiasm for physics shine through! We want to see how your expertise can contribute to AI training, so share specific examples of your work and how it relates to the role.
Tailor Your Application: Make sure to customise your application for this role. Highlight your experience with complex math content and any relevant publications. We love seeing how your background aligns with what we're looking for!
Keep It Clear and Concise: Your writing skills are key, so keep your application clear and to the point. Avoid jargon unless it's necessary, and make sure your explanations are easy to understand. We appreciate clarity just as much as you do!
Apply Through Our Website: Don't forget to apply 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 navigate!
How to prepare for a job interview at SME Careers
✨Know Your Physics Inside Out
Make sure you brush up on your physics concepts, especially those relevant to AI and problem-solving. Be prepared to discuss how your expertise can enhance AI training and provide clear examples of your past work in this area.
✨Showcase Your Analytical Skills
During the interview, highlight your ability to evaluate and critique AI-generated responses. Prepare to discuss specific instances where you've identified errors or improved methodologies in your previous roles, as this will demonstrate your analytical prowess.
✨Communicate Clearly and Effectively
Since you'll be writing high-quality physics explanations, practice articulating complex ideas simply and clearly. Use the interview as an opportunity to showcase your excellent writing skills and ensure that your communication style aligns with the expectations of the role.
✨Emphasise Your Independent Work Style
This role requires a lot of independent work, so be ready to discuss how you manage your time and tasks effectively. Share examples of how you've successfully worked remotely or independently in the past, highlighting your self-motivation and discipline.