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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 expertise.
- 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 projects that excite you in a supportive culture.
- 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 will 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+ USD 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.
Job Types: Full-time, Part-time
Pay: From £29.06 per hour
Expected hours: 1 - 40 per week
Work Location: Remote
Physics Research Scientist - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics Research Scientist - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially as they relate to physics. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in both the physics and AI fields. Attend relevant webinars, workshops, or conferences to meet potential colleagues and learn about the latest trends. This can give you an edge and possibly lead to referrals.
✨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 will demonstrate your expertise and problem-solving skills, which are crucial for this role.
✨Tip Number 4
Showcase any experience you have with evaluating AI models or similar technologies. If you’ve worked on projects that involved assessing performance or logic, be ready to share those experiences, as they will be highly relevant to the position.
We think you need these skills to ace Physics Research Scientist - 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: In your application, provide examples of how you've tackled complex problems in the past. This could be through research projects, internships, or any relevant experience that demonstrates your ability to evaluate and improve AI models.
Tailor Your CV: Customise your CV to align with the job description. Focus on skills like mathematics, reasoning abilities, and any experience with AI or machine learning. Use keywords from the job listing to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role. Discuss why you're interested in training AI models and how your background in physics can contribute to the team's success.
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 undertaken, 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 works will be beneficial. Brush up on key terms and concepts related to AI training and evaluation to impress your interviewers.
✨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.
