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- Tasks: Work on exciting physics projects and evaluate AI chatbot outputs.
- Company: DataAnnotation is a cutting-edge software development company focused on AI.
- Benefits: Enjoy remote work flexibility, set your own schedule, and earn $40+ per hour.
- Why this job: Join a dynamic team and contribute to innovative AI solutions in physics.
- Qualifications: Fluency in English and a strong background in physics or related fields preferred.
- Other info: Payment via PayPal; open to residents of select countries only.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Research Scientist (Physics) role at DataAnnotation.
This is a full-time or part-time REMOTE position. You’ll be able to choose which projects to work on and set your own schedule. Projects are paid hourly starting at $40+ per hour, with bonuses for high-quality and high-volume work.
Responsibilities:
- Provide AI chatbots with diverse and complex physics problems and evaluate their outputs.
- Assess the quality of AI models for correctness and performance.
Qualifications:
- Fluency in English (native or bilingual level).
- Detail-oriented.
- Proficient in mathematics, reasoning, and physics-related fields.
- A Masters and/or PhD in Physics or related fields (e.g., Astrophysics, Biophysics, Electrical Engineering, etc.) is preferred but not required.
Additional Information:
- Payment via PayPal; no fees required from applicants.
- Available only to residents of the US, UK, Canada, Australia, or New Zealand.
Seniority level: Not Applicable
Employment type: Contract
Job function: Other and Science
Industry: Software Development
Research Scientist (Physics) employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist (Physics)
✨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 knowledge 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 help you stand out when discussing your experience.
✨Tip Number 3
Network with professionals in the AI and physics 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 outputs. Understanding how to assess the quality and performance of AI models is crucial for this role, so prepare some thoughts on methodologies you would use.
We think you need these skills to ace Research Scientist (Physics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your qualifications in physics and any relevant experience. Emphasise your proficiency in mathematics and reasoning, as well as any projects or research that align with the role.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the responsibilities of the Research Scientist position. Mention your experience with AI models and your ability to evaluate their outputs, showcasing your detail-oriented nature.
Showcase Relevant Skills: In your application, clearly outline your skills related to physics and mathematics. If you have experience with AI or software development, be sure to include that as well, as it will strengthen your application.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. Ensure that your English is fluent and professional, as this is a key requirement for the role.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Expertise
Make sure to highlight your academic background and any relevant experience in physics or related fields. Be prepared to discuss specific projects you've worked on, especially those involving complex problem-solving or AI applications.
✨Demonstrate Attention to Detail
Since the role requires a detail-oriented approach, be ready to provide examples of how you've ensured accuracy in your previous work. This could include discussing methods you use to verify results or how you handle complex data.
✨Prepare for Technical Questions
Expect questions that assess your understanding of physics concepts and your ability to evaluate AI outputs. Brush up on key topics and think about how you would approach assessing the performance of AI models.
✨Communicate Clearly
Fluency in English is crucial, so practice articulating your thoughts clearly and concisely. This will not only help you answer questions effectively but also demonstrate your communication skills, which are essential for remote collaboration.
