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- Tasks: Create diagnostic questions and evaluate AI outputs for medical imaging.
- Company: Leading AI healthcare company focused on innovation.
- Benefits: High hourly pay, flexible hours, and no patient interaction.
- Why this job: Contribute to groundbreaking AI in healthcare from the comfort of your home.
- Qualifications: Radiology and clinical experience required.
- Other info: Work remotely with a flexible schedule of 5-40 hours per week.
The predicted salary is between 90 - 120 £ per hour.
A leading AI healthcare company is seeking Medical Experts (MD, DO, MBBS) for a remote role in the United Kingdom.
Responsibilities include:
- Creating diagnostic questions
- Evaluating AI outputs
- Reviewing imaging cases for AI training
Ideal candidates will have radiology and clinical experience, with a flexible schedule between 5-40 hours per week. High hourly compensation of up to USD 120, with no clinical liability or patient interaction required. Join us to aid in cutting-edge AI medical imaging development.
Remote Radiology AI Training Specialist employer: Taskify AI
Contact Detail:
Taskify AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Radiology AI Training Specialist
✨Tip Number 1
Network like a pro! Reach out to fellow medical experts and AI enthusiasts on LinkedIn or relevant forums. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your radiology expertise and any relevant projects you've worked on. This can really set you apart when you're applying for roles in AI healthcare.
✨Tip Number 3
Prepare for virtual interviews by brushing up on common questions related to AI in healthcare. Practice articulating how your clinical experience can contribute to AI training and development.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Remote Radiology AI Training Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your radiology and clinical experience. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant skills and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our mission in AI medical imaging. Keep it engaging and personal.
Showcase Your Flexibility: Since we offer flexible hours, let us know your availability clearly. Whether you can commit to 5 or 40 hours a week, being upfront about your schedule helps us find the best fit for both you and us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity in AI healthcare!
How to prepare for a job interview at Taskify AI
✨Know Your Radiology Inside Out
Make sure you brush up on your radiology knowledge before the interview. Familiarise yourself with common imaging cases and AI applications in healthcare. This will not only boost your confidence but also show the interviewers that you're genuinely interested in the role.
✨Prepare for Technical Questions
Expect some technical questions related to AI and radiology. We recommend reviewing recent advancements in AI medical imaging and thinking about how they relate to your experience. Being able to discuss these topics will demonstrate your expertise and enthusiasm for the field.
✨Showcase Your Flexibility
Since the role offers a flexible schedule, be ready to discuss your availability. Think about how you can manage your time effectively between 5-40 hours per week. Highlighting your adaptability will make you a more attractive candidate.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s vision for AI in healthcare or how they evaluate AI outputs. This shows that you’re engaged and eager to contribute to their mission.