At a Glance
- Tasks: Train AI models by solving complex physics problems and evaluating their outputs.
- Company: Join DataAnnotation, a forward-thinking company revolutionising AI training.
- Benefits: Enjoy remote work, flexible hours, and competitive pay starting at £29.06 per hour.
- Why this job: Be part of an innovative team making a real impact in AI technology.
- Qualifications: Expertise in physics or related fields; Masters/PhD preferred but not required.
- Other info: Payment via PayPal; no fees required from applicants.
Join to apply for the AI Training Physics – AI Trainer role at DataAnnotation
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Join to apply for the AI Training Physics – AI Trainer role at DataAnnotation
This range is provided by DataAnnotation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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.
Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.
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’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 $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.
#INDUKPHY
Job Types: Full-time, Part-time
Pay: From £29.06 per hour
Work Location: Remote
Seniority level
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Seniority level
Entry level
Employment type
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Employment type
Contract
Job function
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Job function
Education and Training
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Industries
Software Development
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AI Training Physics - AI Trainer employer: DataAnnotation
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 depth of knowledge.
✨Tip Number 4
Consider creating a portfolio of projects or research that highlights your expertise in physics and AI. This can serve as a practical demonstration of your skills and make you stand out.
We think you need these skills to ace AI Training Physics - AI Trainer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in physics and any relevant qualifications, such as a Masters or PhD. Emphasise your experience with AI models and problem-solving skills.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the role of AI Trainer. Discuss your understanding of AI and physics, and how your background makes you a suitable candidate for evaluating AI outputs.
Showcase Relevant Skills: In your application, clearly outline your proficiency in mathematics and reasoning skills. Mention any specific projects or experiences where you've applied these skills in a practical context.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. Ensure that your language is clear and professional, reflecting your fluency in English.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Physics Expertise
Make sure to highlight your advanced understanding of physics during the interview. Be prepared to discuss specific areas of your expertise, such as astrophysics or biophysics, and how they relate to the role of training AI models.
✨Demonstrate Problem-Solving Skills
Since the role involves evaluating AI outputs and solving complex problems, be ready to share examples of how you've tackled challenging physics problems in the past. This will show your analytical thinking and reasoning abilities.
✨Familiarise Yourself with AI Concepts
Even if your background is primarily in physics, having a basic understanding of AI and machine learning concepts can set you apart. Brush up on how AI models work and the common challenges faced in training them.
✨Prepare Questions for the Interviewers
Engage with your interviewers by preparing thoughtful questions about the projects you'll be working on and the team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.