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- Tasks: Create high-level physics problems and solutions for AI models.
- Company: Leading AI research firm focused on innovation.
- Benefits: Flexible hours, competitive pay, and remote work.
- Why this job: Work on cutting-edge AI projects and make a real impact.
- Qualifications: PhD in Applied Physics with strong analytical writing skills.
- Other info: Perfect for detail-oriented physics enthusiasts seeking flexibility.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research firm is seeking a PhD-level Applied Physics - AI Data Trainer to create high-level physics problems and solutions for AI models. This fully remote position requires expertise in classical and quantum mechanics, coupled with excellent analytical writing skills. The role offers flexible hours, competitive pay, and the chance to work on cutting-edge projects in AI. If you have a keen eye for detail and a passion for physics, this could be the perfect opportunity for you.
Remote PhD Physics AI Data Trainer - Flexible Hours employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote PhD Physics AI Data Trainer - Flexible Hours
✨Tip Number 1
Network like a pro! Reach out to fellow physicists and AI enthusiasts on LinkedIn or relevant forums. 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 expertise! Create a portfolio showcasing your best physics problems and solutions. This will not only highlight your skills but also give potential employers a taste of what you can bring to their AI models.
✨Tip Number 3
Prepare for interviews by brushing up on both classical and quantum mechanics. Be ready to discuss how your analytical writing skills can contribute to creating high-level problems for AI. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote PhD Physics AI Data Trainer - Flexible Hours
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD-level knowledge in applied physics. We want to see your understanding of classical and quantum mechanics shine through in your application!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences.
Tailor Your Application: Don’t just send a generic application! We love seeing how your background specifically fits the role of AI Data Trainer. Mention relevant projects or experiences that align with our needs.
Apply Through Our Website: For the best chance of getting noticed, make sure you apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
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 concepts and how they can be applied in AI. This will show your depth of knowledge and passion for the subject.
✨Showcase Your Analytical Writing Skills
Since the role requires excellent analytical writing, bring examples of your previous work. Whether it's research papers or problem sets, having tangible evidence of your writing ability will impress the interviewers.
✨Familiarise Yourself with AI Applications
Understand how physics problems can be translated into AI models. Research current trends in AI and think about how your expertise can contribute to cutting-edge projects. This will demonstrate your proactive approach and relevance to the role.
✨Prepare Questions About Flexibility and Projects
Since this position offers flexible hours, think about how that fits into your work style. Prepare questions about the types of projects you'll be working on and how you can best contribute. This shows your enthusiasm and readiness to engage with the team.
