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- Tasks: Annotate and validate clinical data to improve healthcare AI models.
- Company: Innovative healthcare technology company focused on AI advancements.
- Benefits: Flexible hours, remote work, and competitive pay.
- Why this job: Make a real difference in healthcare by enhancing AI technology.
- Qualifications: Advanced clinical degree and experience as a licensed healthcare provider.
- Other info: Part-time commitment of 10 to 40 hours per week.
The predicted salary is between 13 - 16 £ per hour.
A healthcare technology company is seeking a Healthcare & Clinical Expert – AI Trainer to work remotely. This role involves annotating and validating clinical data to enhance healthcare AI models and requires substantial expertise in clinical practice and healthcare workflows.
Candidates should possess an advanced clinical degree and relevant experience as a licensed healthcare provider. The position offers a flexible hourly contract with expected commitment of 10 to 40 hours per week.
Remote Clinical AI Trainer & Data Annotator in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Clinical AI Trainer & Data Annotator in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare 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
Show off your skills! Prepare a portfolio showcasing your clinical expertise and any relevant projects you've worked on. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to AI training and data annotation. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, so don’t miss out. Tailor your application to highlight your clinical experience and how it relates to AI in healthcare.
We think you need these skills to ace Remote Clinical AI Trainer & Data Annotator in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your advanced clinical degree and any relevant experience you have as a licensed healthcare provider. We want to see how your background makes you the perfect fit for this role!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the job description. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Clinical Stuff
Make sure you brush up on your clinical knowledge and healthcare workflows. Be ready to discuss your experience as a licensed healthcare provider and how it relates to AI training. This will show that you understand the nuances of the role.
✨Familiarise Yourself with AI Concepts
Even if you're not an AI expert, having a basic understanding of how AI models work in healthcare can set you apart. Research common terms and concepts related to AI in clinical settings so you can engage in meaningful conversations during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific clinical scenarios or data annotation challenges. Think through some examples from your past experience where you successfully navigated similar situations, and be ready to share those stories.
✨Show Your Flexibility and Commitment
Since this role offers flexible hours, be prepared to discuss your availability and how you can commit to the expected workload. Highlight any previous remote work experience and how you manage your time effectively to meet deadlines.
