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- Tasks: Train AI models by solving complex physics problems and evaluating their outputs.
- Company: Join a forward-thinking team dedicated to enhancing AI through physics education.
- Benefits: Enjoy remote work, flexible scheduling, and competitive pay starting at £30.36 per hour.
- Why this job: Make an impact in AI development while working on projects that excite you.
- Qualifications: Expertise in physics or related fields; Masters/PhD preferred but not essential.
- Other info: Payment via PayPal; no fees required from candidates.
We are looking for a physics educator to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
In this role you will need to hold an expert understanding of physics - a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.
Benefits:
- This is a full-time or part-time REMOTE position
- You’ll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at £30.36+ per hour, with bonuses on high-quality and high-volume work
Responsibilities:
- Give AI chatbots diverse and complex physics problems and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications:
- Fluency in English (native or bilingual level)
- Detail-oriented
- Proficient in mathematics, inductive/deductive reasoning, physical/temporal/spatial reasoning
- A current, in progress, or completed Masters and/or PhD is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you.
Physics Teacher - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics Teacher - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and how they relate to physics. Being able to discuss current trends and technologies during your interview will show that you're not only knowledgeable but also passionate about the intersection of these fields.
✨Tip Number 2
Prepare to demonstrate your problem-solving skills by thinking of complex physics problems you can present to the AI. This will highlight your expertise and give you a chance to showcase your analytical abilities during discussions with our team.
✨Tip Number 3
Network with professionals in both the education and AI sectors. Engaging with communities on platforms like LinkedIn or relevant forums can provide insights into what we value in candidates and may even lead to referrals.
✨Tip Number 4
Be ready to discuss your teaching philosophy and how it can be applied to training AI models. We appreciate candidates who can bridge the gap between education and technology, so think about how your approach to teaching can enhance AI learning.
We think you need these skills to ace Physics Teacher - AI Trainer
Some tips for your application 🫡
Highlight Relevant Qualifications: Make sure to emphasise your educational background in physics or related fields. If you have a Masters or PhD, mention it prominently, but also include any relevant coursework or projects that showcase your expertise.
Showcase Problem-Solving Skills: Since the role involves evaluating AI outputs and solving complex physics problems, provide examples of how you've tackled similar challenges in the past. This could be through academic projects, research, or practical applications.
Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect the specific requirements of the job. Use keywords from the job description, such as 'detail-oriented' and 'proficient in mathematics', to demonstrate that you are a perfect fit for the role.
Prepare for Potential Interviews: While this step is not part of the written application, it's wise to prepare for interviews by thinking about how you would evaluate AI models and what types of physics problems you would present. This preparation can help you articulate your thoughts clearly if selected for an interview.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Physics Expertise
Be prepared to discuss your understanding of physics in depth. Highlight any relevant qualifications, such as a Masters or PhD, and be ready to explain complex concepts clearly, as this will demonstrate your expertise to the interviewers.
✨Demonstrate Problem-Solving Skills
Since the role involves evaluating AI outputs and solving physics problems, think of examples from your past experiences where you successfully tackled complex issues. This will show your analytical skills and ability to think critically.
✨Familiarise Yourself with AI Concepts
Even if you're not an AI expert, having a basic understanding of how AI models work will be beneficial. Research common AI terminology and methodologies, as this will help you engage in meaningful discussions during the interview.
✨Prepare Questions for the Interviewers
Interviews are a two-way street. Prepare thoughtful questions about the projects you'll be working on, the team dynamics, and the evaluation process for AI models. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
