At a Glance
- Tasks: Design advanced physics problems and evaluate AI outputs from the comfort of your home.
- Company: Remote AI training company with a focus on innovation and collaboration.
- Benefits: Flexible hours and competitive pay ranging from $35 to $55 per hour.
- Why this job: Collaborate with top AI labs and enhance your skills in a cutting-edge field.
- Qualifications: Master's in Physics or related field with strong reasoning and problem-solving skills.
- Other info: Great potential for further contracting opportunities in a dynamic environment.
The predicted salary is between 28 - 44 £ per hour.
A remote AI training company is seeking a Physics Masters - AI Data Trainer to design advanced physics problems and evaluate AI outputs. Ideal candidates are pursuing or have completed a master's in Physics or a related field, with strong reasoning and problem-solving abilities.
The contract offers flexible hours earning $35–$55/hour, providing opportunities for collaboration with top AI labs and further contracting prospects.
Remote AI Data Trainer — Physics Master’s (Contract) in Oxford employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Data Trainer — Physics Master’s (Contract) in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the physics and AI fields. You never know who might have a lead on a remote position or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your problem-solving abilities and any relevant projects you've worked on. This will help you stand out when applying for roles like the AI Data Trainer.
✨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 communication skills and expertise.
✨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 stay updated on new roles as they come in.
We think you need these skills to ace Remote AI Data Trainer — Physics Master’s (Contract) in Oxford
Some tips for your application 🫡
Show Off Your Physics Skills: Make sure to highlight your academic background and any relevant experience in physics. We want to see how your knowledge can help us design those advanced problems!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you're a great fit for the role.
Tailor Your Application: Don’t just send a generic application! We love seeing how you connect your skills and experiences specifically to the AI Data Trainer role. Show us you’ve done your homework!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Alignerr
✨Know Your Physics Inside Out
Make sure you brush up on your physics knowledge, especially advanced concepts that might come up during the interview. Be prepared to discuss how you would design complex physics problems and evaluate AI outputs based on those.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to demonstrate your reasoning and problem-solving abilities. You might be asked to tackle a physics problem on the spot, so practice explaining your thought process clearly and logically.
✨Familiarise Yourself with AI Concepts
Since this role involves working with AI, it’s crucial to have a basic understanding of AI principles and how they relate to physics. Brush up on relevant terminology and be prepared to discuss how you can contribute to AI training in this context.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s projects and the role itself. This shows your genuine interest and helps you gauge if the position aligns with your career goals, especially regarding collaboration with top AI labs.