At a Glance
- Tasks: Solve complex physics problems and analyse data to support AI development.
- Company: Leading AI development firm with a focus on innovation.
- Benefits: Flexible part-time hours, remote work, and engaging projects.
- Why this job: Make a real-world impact while working on cutting-edge AI technology.
- Qualifications: Expertise in physics and strong analytical skills.
- Other info: Join a dynamic team and choose projects that fit your schedule.
The predicted salary is between 26000 - 44000 £ per year.
A leading AI development firm is seeking an expert Physicist for a part-time remote position. You will support AI development by solving complex physics problems and synthesizing insights through data analysis. This role offers the flexibility to choose projects and schedules that suit your needs.
Candidates will go through a short assessment to begin working on engaging and challenging tasks that contribute to refining intelligent systems. Join our innovating team and make a real-world impact.
Remote Physicist for AI Data Analysis & Modeling in Manchester employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Physicist for AI Data Analysis & Modeling in Manchester
✨Tip Number 1
Network like a pro! Reach out to fellow physicists and AI enthusiasts on LinkedIn or relevant forums. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to data analysis and modelling. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for that assessment! Brush up on your physics concepts and data analysis techniques. We recommend doing some mock assessments to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Remote Physicist for AI Data Analysis & Modeling in Manchester
Some tips for your application 🫡
Show Off Your Physics Skills: Make sure to highlight your expertise in physics and any relevant experience you have with data analysis. We want to see how you can tackle complex problems, so don’t hold back on showcasing your skills!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that align with AI development and how you can contribute to our team. It shows us you’re genuinely interested!
Keep It Clear and Concise: While we love detail, make sure your application is easy to read. Use clear language and avoid jargon unless it’s necessary. We want to understand your qualifications without getting lost in the details.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your info and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at DataAnnotation
✨Know Your Physics
Brush up on your physics fundamentals and be ready to discuss complex problems you've solved in the past. This role is all about applying your expertise, so be prepared to showcase your analytical skills and how they relate to AI data analysis.
✨Familiarise with AI Concepts
Since this position involves AI development, it’s crucial to understand basic AI concepts and how they intersect with physics. Research recent advancements in AI that utilise physics principles, and be ready to discuss how you can contribute to these projects.
✨Prepare for the Assessment
The interview process includes a short assessment, so practice solving relevant physics problems and data analysis scenarios. Familiarise yourself with common tools and techniques used in AI data modelling to demonstrate your readiness for the role.
✨Show Your Flexibility
This role offers flexibility in project selection and scheduling, so be sure to communicate your adaptability. Share examples of how you've successfully managed multiple projects or adjusted your work style to meet changing demands in previous roles.