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For Companies At a Glance
- Tasks: Create and validate physics content to train AI models and enhance educational tools.
- Company: Join a forward-thinking team dedicated to revolutionising education through AI.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Why this job: Shape the future of AI in education while sharing your passion for physics.
- Qualifications: MSc or PhD in Physics with strong communication and problem-solving skills.
- Other info: Work in a dynamic, innovative environment with a focus on quality and accuracy.
The predicted salary is between 36000 - 60000 £ per year.
Location: Remote, UK
Job Type: Contract (Full-time or Part-time)
Job Summary
Join our customer's team as a Physics Expert – AI Trainer, where your advanced physics expertise and passion for education will help shape next-generation AI solutions. As part of an innovative remote team, you will design, curate, and validate educational content to train cutting-edge AI models in the field of physics.
Key Responsibilities
- Develop and refine high-quality physics content for AI model training, including problem sets, explanations, and conceptual frameworks.
- Review, assess, and annotate AI-generated outputs to ensure scientific accuracy and pedagogical value.
- Collaborate with interdisciplinary teams to improve AI understanding of complex physics concepts.
- Transform complex theories into accessible, educational communication for diverse audiences.
- Apply analytical problem-solving skills to evaluate and enhance the performance of AI-driven educational tools.
- Contribute to the creation of guidelines and documentation that standardize AI training in physics.
- Stay up to date with advancements in both AI and physical sciences to inform training processes.
Required Skills and Qualifications
- MSc. or PhD in Physics or a closely related scientific discipline.
- Proven expertise in analytical problem solving within physics contexts.
- Exceptional written and verbal communication abilities, with strong attention to detail and clarity.
- Experience in developing educational content or teaching physics at a collegiate level.
- Ability to translate intricate physical concepts into clear, high-impact training materials.
- Comfort working in a fast-paced, innovative, and fully remote environment.
- Demonstrated commitment to accuracy and quality in educational or technical documentation.
Preferred Qualifications
- Prior experience working with AI models, training datasets, or educational technology platforms.
- Background in curriculum development or instructional design for STEM subjects.
- Familiarity with programming languages or computational physics applications.
Additional Information
- Seniority Level: Mid-Senior level
- Employment Type: Contract
- Job Function: Science, Product Management, and Education
- Industries: IT Services and IT Consulting, Software Development, IT System Testing and Evaluation
Physics Expert-AI Trainer employer: micro1
Contact Detail:
micro1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics Expert-AI Trainer
✨Tip Number 1
Network like a pro! Reach out to your connections in the physics and AI fields. Attend webinars, join online forums, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your best work in physics content development or AI training. This could include problem sets, teaching materials, or any projects you've worked on. A strong portfolio can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and physics. Think about how you can demonstrate your analytical problem-solving skills and your ability to communicate complex concepts clearly. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications that come directly from passionate candidates. Tailor your application to highlight your relevant experience and enthusiasm for shaping the future of AI in education.
We think you need these skills to ace Physics Expert-AI Trainer
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your MSc or PhD in Physics right at the start. We want to see your qualifications shine through, so don’t hold back on showcasing your advanced knowledge and experience in the field!
Tailor Your Content: When you’re writing your application, think about how your skills align with our needs. Use specific examples of your past work in developing educational content or teaching physics to demonstrate how you can contribute to our innovative team.
Be Clear and Concise: We love clarity! Make sure your application is well-structured and easy to read. Use bullet points where necessary and keep your language straightforward to ensure we grasp your ideas without any confusion.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at micro1
✨Know Your Physics Inside Out
Make sure you brush up on your physics knowledge, especially the areas relevant to AI training. Be prepared to discuss complex theories and how they can be simplified for educational purposes. This will show your expertise and ability to communicate effectively.
✨Showcase Your Content Creation Skills
Bring examples of educational content you've developed in the past. Whether it's problem sets or instructional materials, having tangible proof of your skills will impress the interviewers. Highlight how you ensure clarity and engagement in your work.
✨Familiarise Yourself with AI Concepts
Since this role involves working with AI models, it’s crucial to understand the basics of AI and how it relates to physics. Brush up on any relevant experience you have with AI tools or datasets, as this will demonstrate your readiness to contribute from day one.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, as you'll be working with interdisciplinary teams. Think of examples where you've successfully collaborated on projects, particularly in educational settings, and be ready to discuss how you handle differing perspectives.
