At a Glance
- Tasks: Evaluate AI outputs and collaborate with research teams on cutting-edge physics projects.
- Company: Mercor, a leader in AI and quantum data research.
- Benefits: Competitive hourly pay, flexible remote work, and engaging research opportunities.
- Other info: Rolling applications, so apply early for this exciting opportunity!
- Why this job: Join a pioneering team and contribute to groundbreaking AI advancements in quantum physics.
- Qualifications: PhD in Physics with expertise in Advanced Quantum, Electrodynamics, or Classical Mechanics.
The predicted salary is between 56000 - 72000 £ per year.
Mercor is seeking Physics PhD Experts (Advanced Quantum, Electrodynamics & Classical Mechanics) based in the United Kingdom to develop high-quality data for AI models. The position is remote and requires PhD level expertise in physics, focusing on tasks such as evaluating AI outputs and collaborating with research teams.
Candidates must have exceptional communication skills and attention to detail. Compensation ranges from $70 to $90 per hour, with applications reviewed on a rolling basis.
Remote Research Physicist (PhD) for AI Quantum Data in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Research Physicist (PhD) for AI Quantum Data in London
✨Tip Number 1
Network like a pro! Reach out to fellow physicists and researchers in your field. Join online forums or LinkedIn groups related to quantum physics and AI. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your research projects, publications, and any relevant work. This will help you stand out when chatting with potential employers or during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. Focus on explaining complex concepts clearly, as this is crucial for collaborating with research teams.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s the best way to ensure your application gets noticed and reviewed quickly, especially since we’re looking at applications on a rolling basis.
We think you need these skills to ace Remote Research Physicist (PhD) for AI Quantum Data in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD experience and any specific knowledge in Advanced Quantum, Electrodynamics, or Classical Mechanics. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the skills and experiences that are most relevant to the job description. We love seeing candidates who take the time to connect their expertise with what we’re looking for.
Communicate Clearly: Since exceptional communication skills are a must, ensure your application is well-structured and free of jargon. We appreciate clarity and attention to detail, so make it easy for us to understand your qualifications.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered as soon as possible. Don’t miss out on this opportunity!
How to prepare for a job interview at Mercor
✨Know Your Physics Inside Out
Make sure you brush up on your advanced quantum mechanics, electrodynamics, and classical mechanics. Be ready to discuss specific theories or experiments you've worked on during your PhD that relate to AI data evaluation.
✨Showcase Your Communication Skills
Since the role requires exceptional communication, practice explaining complex physics concepts in simple terms. You might be asked to describe how you would collaborate with research teams, so think of examples where you've successfully communicated technical information.
✨Prepare for Technical Questions
Expect questions that test your problem-solving skills and understanding of AI outputs. Review common challenges in AI data evaluation and be prepared to discuss how you would approach these issues based on your expertise.
✨Highlight Attention to Detail
In a field where precision is key, be ready to provide examples from your past work that demonstrate your meticulous nature. Discuss any projects where attention to detail made a significant difference in the outcome.