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- Tasks: Create complex physics problems and assess AI reasoning accuracy.
- Company: Alignerr, a forward-thinking company in AI and physics.
- Benefits: Flexible remote work, influence AI development, and meaningful tasks.
- Other info: No prior AI experience needed; work autonomously in a dynamic environment.
- Why this job: Shape the future of AI while working on exciting physics challenges.
- Qualifications: PhD in Physics with strong analytical writing skills.
The predicted salary is between 30000 - 40000 £ per year.
Alignerr is searching for an Applied Physics — AI Data Trainer based in the UK. This fully remote role welcomes PhD-level physicists to develop complex physics problems and evaluate AI reasoning consistency.
Applicants should possess strong analytical writing skills and mastery of classical and quantum mechanics. No prior AI or data annotation experience is required.
This flexible contract position allows you to influence AI understanding of physics while working autonomously on meaningful tasks.
Remote Applied Physicist: AI Reasoning Trainer in Oxford employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Applied Physicist: AI Reasoning Trainer in Oxford
✨Tip Number 1
Network like a pro! Reach out to fellow physicists and AI enthusiasts on LinkedIn or relevant forums. We can help you connect with the right people who might just know about opportunities that aren't advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical writing and problem-solving abilities in physics. We can help you highlight your best work, making it easier for potential employers to see what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and physics. We suggest practising your responses with friends or using mock interview platforms to build confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. We make sure your details reach the right people quickly, so don’t miss out on this chance to influence AI understanding of physics.
We think you need these skills to ace Remote Applied Physicist: AI Reasoning Trainer in Oxford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical writing skills and your mastery of classical and quantum mechanics in your application. We want to see how you can tackle complex physics problems!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to align with the job description. Mention how your background fits the role of an AI Data Trainer and how you can contribute to our mission.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, so get to the point while showcasing your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Alignerr
✨Know Your Physics Inside Out
Make sure you brush up on both classical and quantum mechanics. Be prepared to discuss complex physics problems you've tackled in the past, as this will showcase your analytical skills and depth of knowledge.
✨Showcase Your Writing Skills
Since strong analytical writing is key for this role, bring examples of your written work. Whether it's research papers or reports, having tangible evidence of your writing prowess can set you apart from other candidates.
✨Understand AI Basics
Even though prior AI experience isn't required, having a basic understanding of AI concepts can be beneficial. Familiarise yourself with how AI reasoning works and think about how physics problems can be framed for AI training.
✨Prepare for Autonomy
This role allows for a lot of independence, so be ready to discuss how you manage your time and tasks when working remotely. Share examples of how you've successfully worked autonomously in the past to demonstrate your self-motivation and organisational skills.