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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 advancing AI technology through education.
- Benefits: Enjoy remote work, flexible scheduling, and competitive pay starting at £29.72 per hour.
- Why this job: Make an impact in AI while utilising your physics expertise in a dynamic environment.
- 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 £40+ 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.
Job Types: Full-time, Part-time
Pay: From £29.72 per hour
Work Location: Remote
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 your passion and knowledge in both 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 not only showcase your expertise but also your ability to evaluate the AI's performance effectively.
✨Tip Number 3
Network with professionals in both the education and AI sectors. Engaging with communities on platforms like LinkedIn can provide insights and connections that may help you stand out as a candidate.
✨Tip Number 4
Be ready to discuss your teaching philosophy and how it can be applied to training AI models. Highlighting your educational approach will demonstrate your capability to bridge the gap between physics education and AI training.
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 previous teaching experiences, research projects, or personal initiatives.
Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect the specific responsibilities and qualifications mentioned in the job description. Use keywords from the listing to demonstrate that you understand the role and are a good fit.
Express Your Passion for AI and Education: In your application, convey your enthusiasm for both physics and the potential of AI in education. Discuss any relevant experiences or interests that connect these two fields, as this will help you stand out as a candidate.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Physics Expertise
Make sure to highlight your understanding of physics during the interview. Be prepared to discuss complex concepts and how they relate to AI training, as this will demonstrate your capability to evaluate AI outputs effectively.
✨Prepare for Problem-Solving Scenarios
Expect to encounter problem-solving scenarios related to physics during the interview. Practise explaining your thought process clearly, as this will showcase your analytical skills and ability to tackle diverse challenges.
✨Demonstrate Detail Orientation
Since the role requires a keen eye for detail, be ready to provide examples from your past experiences where attention to detail was crucial. This could involve discussing specific projects or research where precision was key.
✨Familiarise Yourself with AI Concepts
While your primary focus will be on physics, having a basic understanding of AI and how it processes information will be beneficial. Brush up on relevant AI terminology and concepts to show your enthusiasm for the role.
