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- Tasks: Train AI models by solving complex physics problems and evaluating chatbot outputs.
- Company: Join a cutting-edge team focused on advancing AI technology in physics.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £29.53 per hour.
- Why this job: Be part of an innovative project that shapes the future of AI and physics.
- Qualifications: Masters/PhD in relevant fields preferred; detail-oriented with strong physics and engineering skills.
- 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 aerospace engineering - a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Mechanical Engineering, Materials Science, Aeroscience.
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 £29.53 per hour, with bonuses on high-quality and high-volume work
Responsibilities:
- Give AI chatbots diverse and complex problems and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications:
- A current, in progress, or completed Masters and/or PhD is preferred but not required
- Fluency in English (native or bilingual level)
- Detail-oriented
- Proficient in physics, engineering, inductive/deductive reasoning, physical/temporal/spatial reasoning
Note: Payment is made via PayPal. We will never ask for any money from you.
Physics Instructor - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics Instructor - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially as they relate to physics. Being able to discuss current trends and technologies during an interview will show your passion and expertise in the field.
✨Tip Number 2
Prepare to demonstrate your problem-solving skills by thinking of complex physics problems you can present to AI models. This will not only showcase your knowledge but also your ability to evaluate AI outputs effectively.
✨Tip Number 3
Network with professionals in the aerospace and engineering fields. Engaging with others who have similar interests can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 4
Be ready to discuss your experience with different engineering disciplines, particularly how they relate to AI training. Highlighting your interdisciplinary knowledge can set you apart from other candidates.
We think you need these skills to ace Physics Instructor - AI Trainer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to grasp the specific requirements and responsibilities of the Physics Instructor - AI Trainer position. Highlight your relevant experience in physics and engineering.
Tailor Your CV: Customise your CV to emphasise your expertise in aerospace engineering or related fields. Include any relevant projects, research, or teaching experience that showcases your qualifications for training AI models.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in physics and engineering to the role. Discuss your passion for AI and how your skills can contribute to improving AI chatbots. Be sure to mention your attention to detail and problem-solving abilities.
Proofread Your Application: Before submitting, thoroughly proofread your application materials for any grammatical errors or typos. A polished application reflects your professionalism and attention to detail, which is crucial for this role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Expertise
Make sure to highlight your advanced knowledge in physics and any relevant fields like aerospace engineering. Be prepared to discuss specific projects or research that demonstrate your expertise.
✨Prepare for Problem-Solving Scenarios
Since the role involves evaluating AI outputs, practice explaining your thought process when solving complex problems. You might be asked to analyse a sample output from an AI model during the interview.
✨Demonstrate Attention to Detail
As the job requires a detail-oriented approach, be ready to provide examples of how you've ensured accuracy in your previous work. This could include discussing methodologies you used to evaluate data or results.
✨Familiarise Yourself with AI Concepts
Brush up on basic AI principles and how they relate to physics. Understanding how AI models learn and improve will help you articulate your thoughts on evaluating their performance effectively.
