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- Tasks: Annotate and validate clinical data to train healthcare AI models accurately.
- Company: Leading healthcare organisation focused on innovative AI solutions.
- Benefits: Competitive hourly pay, flexible remote work, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by shaping the future of AI technology.
- Qualifications: Deep clinical expertise and experience in healthcare settings.
- Other info: Flexible hours with a commitment of 10 to 40 hours per week.
The predicted salary is between 85 - 170 £ per hour.
Position: Healthcare & Clinical Expert – AI Trainer
Type: Hourly contract
Compensation: $100-$200/hr
Location: Remote
Commitment: 10 to 40 hours per week
Role Responsibilities
- Annotate, review, and validate clinical data to train healthcare AI models with high accuracy and regulatory compliance.
- Apply deep clinical expertise to guide AI learning across complex medical and patient care scenarios.
- Collaborate with product, engineering, and data science teams to improve healthcare AI systems and workflows.
- Develop and maintain clinical guidelines, protocols, and standards for AI model training and deployment.
- Contribute to knowledge.
Health Educator | Remote in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Health Educator | Remote in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare AI field on LinkedIn or other platforms. A friendly message can open doors and lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or a presentation that highlights your clinical experience and how it relates to AI. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online resources to refine your answers. Focus on how your skills can directly benefit the AI training process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Health Educator | Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Health Educator role. Highlight your clinical expertise and any relevant experience in AI or healthcare. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare AI and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Skills: In your application, don’t forget to showcase your skills that are relevant to the role. Whether it's your experience with clinical data or collaboration with tech teams, let us know how you can help improve our AI systems.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Stuff
Make sure you brush up on your clinical knowledge and AI applications in healthcare. Be ready to discuss how your expertise can enhance AI training and ensure regulatory compliance.
✨Showcase Collaboration Skills
Since the role involves working with product, engineering, and data science teams, prepare examples of past collaborations. Highlight how you’ve successfully worked across disciplines to achieve a common goal.
✨Prepare for Scenario Questions
Expect questions that test your ability to apply clinical expertise in complex scenarios. Think about real-life situations where you’ve had to make critical decisions and be ready to share those experiences.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current AI projects or how they measure the success of their healthcare models.
