Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Train AI models by solving complex physics problems and evaluating chatbot outputs.
- Company: Join a cutting-edge team focused on advancing AI technology in physics.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £29.06 per hour.
- Why this job: Make an impact in AI while working on exciting projects that match your interests.
- Qualifications: Expertise in physics or related fields; Masters/PhD preferred but not mandatory.
- Other info: Payment via PayPal; no fees required from applicants.
We are looking for an advanced physicist 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 £29.06 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.
AI Training Physics - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Training Physics - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and physics. Being well-versed in current trends will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with online communities or forums related to AI and physics. Networking with professionals in these areas can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific physics problems you've solved or projects you've worked on. This will showcase your expertise and problem-solving skills, which are crucial for the role.
✨Tip Number 4
Stay updated on the evaluation metrics used in AI training. Understanding how to measure AI performance will be beneficial when discussing your approach to improving model quality.
We think you need these skills to ace AI Training Physics - AI Trainer
Some tips for your application 🫡
Highlight Relevant Qualifications: Make sure to emphasise your academic background in physics or related fields. If you have a Masters or PhD, mention it prominently, and if you're currently pursuing one, include that information as well.
Showcase Problem-Solving Skills: In your application, provide examples of how you've tackled complex problems in physics or mathematics. This could be through projects, research, or relevant work experience that demonstrates your analytical abilities.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the job description. Focus on your proficiency in mathematics and reasoning skills, as these are crucial for evaluating AI models.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you're interested in the role and how your background makes you a suitable candidate. Be sure to express your enthusiasm for working with AI and your understanding of its applications in physics.
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 and solve problems effectively.
✨Prepare for Problem-Solving Scenarios
Expect to encounter scenarios where you need to evaluate AI outputs based on physics problems. Practise explaining your thought process clearly, as this will show your analytical skills and how you approach problem-solving.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented mindset, be ready to provide examples from your past experiences where your attention to detail made a significant impact. This could be in research, projects, or any relevant work.
✨Familiarise Yourself with AI Concepts
While your primary focus is on physics, having a basic understanding of AI principles will be beneficial. Brush up on how AI models learn and improve, as this knowledge can help you articulate how you would train and evaluate these models.
