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- Tasks: Train AI models by solving complex physics problems and evaluating their outputs.
- Company: Join a forward-thinking team in the software development industry.
- Benefits: Flexible remote work, choose your projects, and earn $40+ per hour with bonuses.
- Other info: Entry-level position with opportunities for growth in a dynamic environment.
- Why this job: Make a real impact on AI technology while working on your own schedule.
- Qualifications: Expertise in physics and detail-oriented problem-solving skills required.
The predicted salary is between 26 - 32 £ per hour.
We are looking for AI Training, Physics 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 level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
This is a full-time or part-time REMOTE position. You will be able to choose which projects you want to work on and 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 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.
- Strong grasp of classical mechanics, E&M, thermodynamics, and basic quantum concepts.
- A current, in progress, or completed Master’s and/or PhD is preferred but not required.
Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United Kingdom will be considered for this role. This is an independent contract position.
Seniority level: Entry levelEmployment type: Full-time
Job function: Research, Analyst, and Information Technology
Industries: Software Development
Location: London, England, United Kingdom
Physics Content Developer in London employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics Content Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the physics and AI fields on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your physics projects or any relevant work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common physics problems and AI evaluation techniques. Practice explaining complex concepts in simple terms – it shows you really know your stuff!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Physics Content Developer in London
Some tips for your application 🫡
Show Off Your Physics Skills: Make sure to highlight your expertise in physics, especially in areas like classical mechanics and thermodynamics. We want to see how your knowledge can help us train our AI models!
Tailor Your Application: Don’t just send a generic application! Take the time to customise your CV and cover letter to reflect the specific skills and experiences that match the job description. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you’d be a great fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it’s super easy!
How to prepare for a job interview at DataAnnotation
✨Know Your Physics Inside Out
Make sure you brush up on your physics knowledge, especially classical mechanics, E&M, thermodynamics, and basic quantum concepts. Be prepared to discuss complex problems and how you would evaluate AI outputs related to these topics.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to demonstrate your analytical thinking. You might be asked to solve a physics problem on the spot or explain how you would approach evaluating an AI model's output. Practice articulating your thought process clearly.
✨Familiarise Yourself with AI Concepts
Since the role involves training AI models, it’s beneficial to have a basic understanding of AI principles. Research how AI chatbots work and think about how physics can be integrated into their training. This will show your enthusiasm for the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the projects you could work on, the team dynamics, and how success is measured in this role. This shows your genuine interest and helps you assess if the position is right for you.