Experimental Physicist

Experimental Physicist

Saint Asaph Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to train AI models and solve complex physics problems.
  • Company: Innovative tech company focused on advancing AI through physics expertise.
  • Benefits: Enjoy remote work, flexible hours, and competitive pay starting at $40+ per hour.
  • Why this job: Make an impact in AI development while working on exciting projects that fit your schedule.
  • Qualifications: Expertise in physics or related fields; Masters/PhD preferred but not required.
  • Other info: Payment via PayPal; available only to applicants in select countries.

The predicted salary is between 28800 - 48000 £ per year.

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 $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. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Experimental Physicist employer: DataAnnotation

As an innovative employer, we offer a flexible and remote work environment that empowers our Experimental Physicists to choose projects that align with their interests and expertise. Our culture prioritises collaboration and continuous learning, providing ample opportunities for professional growth while rewarding high-quality contributions with competitive hourly rates and bonuses. Join us in a dynamic setting where your skills in physics can directly influence the advancement of AI technology, all from the comfort of your own home.
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Contact Detail:

DataAnnotation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Experimental Physicist

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and physics. Understanding how AI models are trained and evaluated will give you an edge during discussions and interviews.

✨Tip Number 2

Engage with online communities or forums related to experimental physics and AI. Networking with professionals in these fields can provide insights and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss specific physics problems you've encountered and how you approached solving them. This will demonstrate your problem-solving skills and depth of knowledge.

✨Tip Number 4

Showcase any relevant projects or research you've worked on, especially those that involve AI or complex problem-solving. This can set you apart from other candidates.

We think you need these skills to ace Experimental Physicist

Expert Understanding of Physics
Mathematical Proficiency
Inductive Reasoning
Deductive Reasoning
Physical Reasoning
Temporal Reasoning
Spatial Reasoning
Problem-Solving Skills
Attention to Detail
AI Model Evaluation
Data Analysis
Communication Skills
Adaptability
Research Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your expertise in physics and any relevant fields such as astrophysics or engineering. Emphasise your educational background, especially if you have a Masters or PhD, and include any specific projects or research that relate to AI or problem-solving.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the responsibilities of evaluating AI models. Mention any experience you have with AI or similar technologies, and explain why you're interested in working remotely on diverse projects.

Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your ability to solve complex problems, particularly in physics. This could be through previous work experiences, academic projects, or personal initiatives that required analytical thinking and reasoning.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects attention to detail, which is crucial for this role. Consider asking a friend or colleague to review it as well.

How to prepare for a job interview at DataAnnotation

✨Showcase Your Physics Knowledge

Be prepared to discuss your understanding of complex physics concepts. Highlight any relevant projects or research you've undertaken, especially those that relate to AI or problem-solving.

✨Demonstrate Problem-Solving Skills

Expect to tackle some physics problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills.

✨Familiarise Yourself with AI Models

Research how AI models work, particularly in relation to physics. Being able to discuss the intersection of AI and physics will impress the interviewers and show your enthusiasm for the role.

✨Prepare Questions

Have a few insightful questions ready about the projects you might work on or the team dynamics. This shows your interest in the position and helps you assess if it's the right fit for you.

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