At a Glance
- 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 £29.06 per hour.
- Why this job: Be part of innovative projects that challenge your intellect and contribute to AI advancements.
- Qualifications: Expertise in physics or related fields; Masters/PhD preferred but not mandatory.
- Other info: Payment is 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'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 £29.06 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.
Research Scientist (Physics) - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist (Physics) - AI Trainer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and physics. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase your problem-solving skills. Think of specific examples where you've tackled complex physics problems, as this will be crucial for evaluating AI outputs effectively.
✨Tip Number 3
Network with professionals in both the physics and AI communities. Engaging with others in these fields can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 4
Be ready to discuss your approach to evaluating AI models. Having a clear methodology for assessing their performance will show that you are not only knowledgeable but also practical in applying your skills.
We think you need these skills to ace Research Scientist (Physics) - AI Trainer
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. Emphasise your academic achievements, especially if you have a Masters or PhD, and include any experience related to AI or problem-solving.
Craft a Strong Cover Letter: In your cover letter, express your passion for physics and AI. Discuss specific projects or experiences that demonstrate your ability to evaluate AI models and solve complex problems. Make it personal and show how your skills align with the company's goals.
Showcase Relevant Skills: Highlight your proficiency in mathematics and reasoning skills in your application. Provide examples of how you've applied these skills in previous roles or projects, particularly in evaluating outputs or improving processes.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors, clarity, and ensure that all information is accurate. A polished application reflects your 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 physics in detail. Highlight any relevant projects or research you've conducted, 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 relates to your field can set you apart. Brush up on how AI models are trained and evaluated, particularly in relation to logic and reasoning.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the role and the projects you'll be working on. This shows your genuine interest in the position and helps you assess if it's the right fit for you.