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- Tasks: Create radiology questions and evaluate AI output for diagnostic accuracy.
- Company: Leading AI healthcare company focused on innovative medical imaging solutions.
- Benefits: Flexible scheduling, generous hourly pay, and remote work opportunities.
- Why this job: Engage with advanced AI developments while making a real impact in healthcare.
- Qualifications: Clinical imaging experience, preferably as practising radiologists or recent residents.
- Other info: Flexible work environment with opportunities for professional growth.
The predicted salary is between 13 - 16 £ per hour.
A leading AI healthcare company is hiring a Clinical Assistant to work remotely, contributing to AI model training in medical imaging.
Responsibilities include:
- Creating radiology questions
- Evaluating AI output for diagnostic accuracy
- Providing detailed feedback
Candidates should have clinical imaging experience, preferably as practising radiologists or recent residents.
This role offers flexible scheduling, generous hourly compensation, and opportunities to engage with advanced AI developments in a flexible work environment.
Remote Radiology AI QA Specialist — Feedback & Validation employer: Taskify AI
Contact Detail:
Taskify AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Radiology AI QA Specialist — Feedback & Validation
✨Tip Number 1
Network like a pro! Reach out to your contacts in the radiology field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for virtual interviews by practising common questions related to AI in healthcare. We recommend setting up mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your expertise! When discussing your clinical imaging experience, highlight specific cases where you evaluated diagnostic accuracy. This will demonstrate your value and understanding of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote Radiology AI QA Specialist — Feedback & Validation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your clinical imaging experience and any relevant qualifications. We want to see how your background aligns with the role of a Radiology AI QA Specialist, 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 experience as a practising radiologist or recent resident makes you a perfect fit for this role. Let us know what excites you about working with advanced AI developments.
Be Specific About Your Experience: When detailing your past roles, be specific about your contributions to diagnostic accuracy and feedback processes. We love numbers and examples, so if you’ve improved outcomes or streamlined processes, share those details with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Taskify AI
✨Know Your Radiology Inside Out
Make sure you brush up on your clinical imaging knowledge. Be prepared to discuss specific cases and how you would evaluate AI outputs in those scenarios. This will show that you not only understand the technology but also its application in real-world settings.
✨Familiarise Yourself with AI in Healthcare
Since this role involves working with AI models, it’s crucial to have a basic understanding of how AI is used in medical imaging. Research recent advancements and be ready to discuss how you think AI can improve diagnostic accuracy in radiology.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company’s AI projects and how they gather feedback for model training. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
✨Showcase Your Flexibility and Team Spirit
Highlight your ability to work remotely and adapt to flexible schedules. Share examples of how you've successfully collaborated with teams in the past, especially in a remote setting, to demonstrate that you can thrive in their work environment.
