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- Tasks: Train AI models by solving complex physics problems and evaluating their outputs.
- Company: Join a cutting-edge team focused on advancing AI technology through physics research.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £30.36 per hour.
- Why this job: Be part of an innovative project that combines physics and AI, making a real impact.
- Qualifications: Expertise in physics or related fields; Masters/PhD preferred but not mandatory.
- Other info: Payment via PayPal; available only to applicants in select countries.
The predicted salary is between 63000 - 84000 £ per year.
We are looking for a physics researcher 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. 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.
Research Scientist (Physics) - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist (Physics) - AI Trainer
✨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 with us about the role.
✨Tip Number 2
Engage with online communities or forums related to AI and physics. Networking with professionals in these fields can provide insights and potentially lead to recommendations for your application.
✨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 during any interviews.
✨Tip Number 4
Showcase any relevant projects or research you've worked on, especially those that involve AI or complex physics concepts. This practical experience can set you apart from other candidates.
We think you need these skills to ace Research Scientist (Physics) - AI Trainer
Some tips for your application 🫡
Highlight Relevant Experience: When applying for the Research Scientist position, make sure to emphasise any relevant experience in physics or related fields. Detail your academic background, including any completed or ongoing Masters or PhD studies, and mention specific projects or research that align with AI training.
Showcase Problem-Solving Skills: Since the role involves evaluating AI outputs and solving complex physics problems, include examples in your application that demonstrate your problem-solving abilities. Discuss any previous experiences where you tackled challenging issues, particularly in a research context.
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', 'mathematics proficiency', and 'inductive/deductive reasoning', to show that you are a perfect fit for the role.
Proofread Your Application: Before submitting your application, take the time to proofread all documents. Ensure there are no spelling or grammatical errors, as attention to detail is crucial for this position. A polished application reflects your professionalism and commitment.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Physics Expertise
Be prepared to discuss your understanding of physics in detail. Highlight any relevant projects or research you've conducted, especially those that relate to AI or complex 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 and ability to evaluate AI outputs.
✨Familiarise Yourself with AI Concepts
While the focus is on physics, having a basic understanding of AI and how it relates to your field can set you apart. Brush up on how AI models are trained and evaluated, particularly in relation to logic and performance.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the role and the projects you'll be working on. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
