At a Glance
- Tasks: Evaluate and create physics content to enhance AI models.
- Company: Join Braintrust AI, a leader in innovative technology.
- Benefits: Enjoy remote work flexibility and ongoing projects.
- Why this job: Make a real impact on AI development with your physics expertise.
- Qualifications: Bachelor's or Master's in Physics and strong analytical skills.
- Other info: Perfect for independent thinkers who love problem-solving.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Braintrust AI is looking for individuals with a strong background in Physics to help train and improve AI models. You'll be working on projects that involve reviewing, evaluating, and creating data or content to help AI systems become more accurate, reliable, and contextâaware in your area of expertise. This is a great opportunity for professionals who enjoy analytical thinking, problemâsolving, and working independently on flexible schedules.
Responsibilities
- Evaluate and provide feedback on AI-generated outputs related to Physics.
- Create and refine physics problems, explanations, data, or training content.
- Ensure accuracy, relevance, and clarity.
- Follow detailed guidelines for consistency and quality.
What We're Looking For
- Bachelor's or Master's in Physics or a related field.
- Strong analytical and quantitative skills.
- Ability to explain complex physics concepts clearly.
- High attention to detail.
- English proficiency.
Why Join Us
- Remote flexible work.
- Contribute to advanced AI development.
- Ongoing Physics-focused projects available.
Physics Expert - AI Training (Remote, Freelance) in London employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Physics Expert - AI Training (Remote, Freelance) in London
â¨Tip Number 1
Network like a pro! Reach out to fellow physicists and AI enthusiasts on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your physics projects or any AI-related work. This will give potential employers a taste of what you can bring to the table.
â¨Tip Number 3
Prepare for interviews by brushing up on common questions related to physics and AI. Practice explaining complex concepts in simple terms, as clarity is key in this role.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Physics Expert - AI Training (Remote, Freelance) in London
Some tips for your application đŤĄ
Show Off Your Physics Skills: Make sure to highlight your background in Physics, whether it's your degree or any relevant experience. We want to see how your analytical thinking and problem-solving skills can contribute to our AI projects!
Be Clear and Concise: When explaining your experience or skills, keep it straightforward. We appreciate clarity, especially since you'll be creating and refining physics content. Avoid jargon unless necessary!
Follow the Guidelines: Pay close attention to any application guidelines we provide. Consistency and quality are key in this role, so showing that you can follow detailed instructions will definitely work in your favour.
Apply Through Our Website: We encourage you to submit your application through our website. Itâs the best way for us to receive your details and ensures youâre considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Braintrust
â¨Know Your Physics Inside Out
Make sure you brush up on your physics concepts and theories. Be ready to explain complex ideas clearly, as this role requires you to evaluate and create content that is accurate and relevant. Practising how to articulate these concepts will help you stand out.
â¨Familiarise Yourself with AI Training
Since you'll be working on AI models, itâs a good idea to understand the basics of AI training and evaluation. Research how AI systems learn from data and what makes them reliable. This knowledge will show your enthusiasm for the role and your ability to contribute effectively.
â¨Prepare Examples of Your Work
Think of specific instances where you've solved complex problems or created educational content in physics. Having concrete examples ready will demonstrate your analytical skills and attention to detail, which are crucial for this position.
â¨Ask Insightful Questions
At the end of the interview, donât hesitate to ask questions about the projects you'll be working on or the team dynamics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.