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- Tasks: Annotate and validate clinical data to train AI models for healthcare.
- Company: Join a forward-thinking team revolutionising healthcare with AI.
- Benefits: Earn $100-$200/hr, work remotely, and flexible hours.
- Why this job: Make a real difference in healthcare by shaping AI technology.
- Qualifications: Deep clinical expertise and experience in healthcare settings.
- Other info: Flexible commitment of 10 to 40 hours per week.
The predicted salary is between 13 - 16 £ 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.
Clinical Research Assistant | Remote in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Research Assistant | Remote in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for virtual interviews by setting up a professional backdrop and testing your tech. We want you to shine, so practice answering common questions related to clinical data and AI!
✨Tip Number 3
Showcase your expertise! Create a portfolio or a blog where you can share insights on clinical guidelines and AI training. This will help you stand out as a knowledgeable candidate.
✨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 take that extra step!
We think you need these skills to ace Clinical Research Assistant | Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Clinical Research Assistant. Highlight relevant experience and skills that align with the job description, especially your clinical expertise and any experience with AI or data annotation.
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 your background makes you a perfect fit for the role. Keep it concise but impactful!
Showcase Your Collaboration Skills: Since this role involves working with various teams, emphasise your ability to collaborate effectively. Share examples of past experiences where you worked with product, engineering, or data science teams to achieve a common goal.
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 regarding your application status!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Clinical Stuff
Make sure you brush up on your clinical knowledge and the latest trends in healthcare AI. Be ready to discuss how your expertise can enhance AI training and ensure regulatory compliance.
✨Showcase Collaboration Skills
Since this role involves working with product, engineering, and data science teams, prepare examples of past collaborations. Highlight how you’ve successfully worked across disciplines to improve processes or outcomes.
✨Prepare for Scenario Questions
Expect questions that test your ability to apply clinical expertise in complex scenarios. Think about real-life situations where you 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 success in training models. This shows you’re engaged and forward-thinking.
