AI Training Physics - AI Trainer
AI Training Physics - AI Trainer

AI Training Physics - AI Trainer

Middlesbrough Full-Time 30 £ / hour No home office possible
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At a Glance

  • Tasks: Train AI models by solving complex physics problems and evaluating their 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 £29.06 per hour.
  • Why this job: Make an impact in AI while working on exciting projects that fit your schedule.
  • Qualifications: Expertise in physics or related fields; Masters/PhD preferred but not required.
  • Other info: Payment is made via PayPal; no fees will be charged to you.

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+ 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.

Job Types: Full-time, Part-time

Pay: From £29.06 per hour

Work Location: Remote

AI Training Physics - AI Trainer employer: DataAnnotation

Join a forward-thinking company that values innovation and expertise in the field of AI training. With the flexibility of remote work, you can choose projects that align with your interests while enjoying competitive pay and opportunities for professional growth. Our supportive work culture encourages collaboration and continuous learning, making it an ideal environment for advanced physicists looking to make a meaningful impact.
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Contact Detail:

DataAnnotation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Training Physics - AI Trainer

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and physics. Being well-versed in current trends will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Engage with online communities or forums related to AI and physics. Networking with professionals in these areas can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss specific physics problems you've encountered and how you approached solving them. This will showcase your problem-solving skills and your ability to evaluate AI outputs effectively.

✨Tip Number 4

Consider creating a portfolio that highlights any relevant projects or research you've conducted in physics or AI. This can serve as a practical demonstration of your expertise and commitment to the role.

We think you need these skills to ace AI Training Physics - AI Trainer

Expert Understanding of Physics
Mathematical Proficiency
Inductive Reasoning
Deductive Reasoning
Physical Reasoning
Temporal Reasoning
Spatial Reasoning
Problem-Solving Skills
Attention to Detail
Evaluation and Assessment Skills
Communication Skills
Data Analysis
Adaptability
Fluency in English

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 engineering. Include specific projects or research that demonstrate your problem-solving skills and experience with AI models.

Craft a Strong Cover Letter: In your cover letter, express your passion for AI and physics. Mention why you are interested in this role and how your background makes you a suitable candidate. Be sure to include examples of your analytical skills and any relevant experience.

Showcase Relevant Skills: Emphasise your proficiency in mathematics and reasoning skills in your application. Provide examples of how you've applied these skills in previous roles or projects, especially in relation to evaluating AI outputs.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors and ensure that all information is clear and concise. A polished 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 if you have a Masters or PhD in the field.

✨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 processes information will be beneficial. Brush up on common AI terminology and methodologies to engage effectively with the interviewers.

✨Prepare Questions About the Role

Show your interest by preparing thoughtful questions about the projects you'll be working on and the team dynamics. This not only demonstrates your enthusiasm but also helps you assess if the role aligns with your career goals.

AI Training Physics - AI Trainer
DataAnnotation
Location: Middlesbrough
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