At a Glance
- Tasks: Review diagnostic imaging and provide feedback to enhance AI model training.
- Company: Leading AI healthcare firm focused on innovative medical solutions.
- Benefits: Flexible scheduling, competitive pay, and remote work opportunities.
- Why this job: Join a cutting-edge team and shape the future of medical AI.
- Qualifications: Current practicing radiologists or fellows with clinical experience.
- Other info: Work 5-40 hours per week in a dynamic and impactful role.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI healthcare firm is seeking a Radiology Expert to enhance AI model training through the review of diagnostic imaging. This fully remote position requires clinical experience, allowing for flexible scheduling between 5-40 hours per week.
Responsibilities include:
- Interpreting imaging cases
- Creating validation questions
- Providing structured feedback on AI-generated reports
Ideal candidates are current practicing radiologists or fellows. The role offers competitive pay and exposure to innovative medical AI projects.
Remote Radiology Expert for AI Training & Evaluation in Sheffield employer: ScaleAI
Contact Detail:
ScaleAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Radiology Expert for AI Training & Evaluation in Sheffield
✨Tip Number 1
Network like a pro! Reach out to fellow radiologists or AI professionals on LinkedIn. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your diagnostic imaging work and any relevant projects. This will help us see your skills in action during interviews.
✨Tip Number 3
Stay updated with the latest in AI and radiology. Follow industry news, join webinars, and participate in discussions. It’ll give you great talking points when we chat about the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Remote Radiology Expert for AI Training & Evaluation in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your clinical experience and any relevant work with diagnostic imaging. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in healthcare and how your expertise can contribute to our projects. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Experience: When filling out your application, be specific about your experience with interpreting imaging cases and providing feedback. We’re looking for candidates who can hit the ground running, so highlight any similar roles or projects you've worked on.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ScaleAI
✨Know Your Imaging Inside Out
Make sure you brush up on your diagnostic imaging knowledge before the interview. Be prepared to discuss specific cases you've interpreted and how your clinical experience can enhance AI model training.
✨Showcase Your Feedback Skills
Since providing structured feedback is key in this role, think of examples where you've given constructive criticism or validation in a clinical setting. This will demonstrate your ability to contribute effectively to AI-generated reports.
✨Flexibility is Key
Highlight your ability to manage flexible scheduling. Discuss how you can balance your clinical duties with the responsibilities of this remote position, showing that you're ready to adapt to their needs.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends in medical AI and how they relate to radiology. Being able to discuss current innovations will show your enthusiasm for the field and your commitment to contributing to cutting-edge projects.