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- Tasks: Evaluate AI chatbots by solving complex physics problems and improving their logic.
- Company: DataAnnotation is a cutting-edge company focused on training AI models with expert insights.
- Benefits: Enjoy remote work flexibility, choose your projects, and earn $40+ per hour with bonuses.
- Why this job: Join a dynamic team where your physics expertise directly impacts AI development and innovation.
- 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.
We are looking for a physics expert 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.
This is a remote position, available full-time or part-time. You’ll be able to choose which projects to work on. You can work on your own schedule. Projects are paid hourly starting at $40+ per hour, with bonuses for high-quality and high-volume work.
Responsibilities:- Provide AI chatbots with diverse and complex physics problems and evaluate their outputs.
- Evaluate the quality produced by AI models for correctness and performance.
- Fluency in English (native or bilingual level).
- Detail-oriented.
- Proficient in mathematics, inductive/deductive reasoning, and 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 outside these countries will not see work or assessments available on our site at this time.
Theoretical Physicist employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Theoretical Physicist
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially how they relate to physics. This knowledge will not only help you understand the role better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals in the field of theoretical physics and AI. Attend relevant webinars, workshops, or conferences to meet potential colleagues and learn about the latest trends, which can give you an edge when applying.
✨Tip Number 3
Prepare to discuss specific physics problems you've solved in the past and how you approached them. Being able to articulate your thought process and problem-solving skills will demonstrate your expertise and suitability for the role.
✨Tip Number 4
Showcase your flexibility and adaptability by highlighting any experience you have with remote work or managing your own schedule. This is particularly important for a role that allows you to choose your projects and work hours.
We think you need these skills to ace Theoretical Physicist
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 Mathematics. Emphasise your academic achievements, especially if you have a Masters or PhD, and include any experience related to AI or problem-solving.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for physics and AI. Explain why you're interested in the role at DataAnnotation and how your skills can contribute to training AI models. Be specific about your experiences and how they relate to the responsibilities outlined in the job description.
Highlight Relevant Skills: In your application, clearly outline your proficiency in mathematics and reasoning skills. Mention any specific tools or methodologies you are familiar with that could be beneficial for evaluating AI outputs and solving complex problems.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors, clarity, and ensure that all information is accurate. A well-presented application reflects attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Physics Expertise
Be prepared to discuss your understanding of complex physics concepts. Highlight any relevant projects or research you've undertaken, especially those that demonstrate your ability to solve intricate problems.
✨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 how you approach challenges.
✨Familiarise Yourself with AI Applications
Since the role involves training AI models, brush up on how physics can be applied in AI contexts. Understanding the intersection of these fields will help you articulate your ideas and contributions effectively.
✨Prepare Questions About the Role
Think of insightful questions to ask about the projects you'll be working on and the team dynamics. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
