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- Tasks: Manage health AI projects, create deliverables, and review peer work remotely.
- Company: Mercor, a leader in health services innovation.
- Benefits: Earn $80-$110 per hour with flexible, asynchronous work hours.
- Other info: Enjoy a remote work environment with opportunities for professional growth.
- Why this job: Join a cutting-edge team improving AI in healthcare and make a real difference.
- Qualifications: 4+ years of experience in medical services and strong writing skills.
The predicted salary is between 64000 - 88000 £ per year.
Mercor is seeking a Medical and Health Services Manager to work remotely for 30–40 hours a week. The role involves creating deliverables, reviewing peer-developed work, and leveraging domain expertise in medical and health services.
Candidates must have 4+ years of experience and excellent written communication skills. The compensation ranges from $80 to $110 per hour, and work will be conducted asynchronously to improve AI model performance.
Remote Health AI Research Manager (Contract) employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Health AI Research Manager (Contract)
✨Tip Number 1
Network like a pro! Reach out to professionals in the health AI field on LinkedIn or relevant forums. We can’t stress enough how a personal connection can give you an edge over other candidates.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio of your previous work that highlights your experience in medical and health services. We want to see your skills in action, so make it visually appealing and easy to navigate.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to health AI and management. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals, so don’t hesitate to submit your application directly to us.
We think you need these skills to ace Remote Health AI Research Manager (Contract)
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of experience in medical and health services. We want to see how your background aligns with the role, so don’t hold back on those relevant achievements!
Nail the Written Communication: Since excellent written communication skills are a must, take your time crafting your application. Use clear and concise language, and make sure to proofread for any typos or errors before hitting send.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their applications to the specific role. Mention how your skills can help improve AI model performance and contribute to our goals.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Mercor
✨Know Your Stuff
Make sure you brush up on your medical and health services knowledge. Familiarise yourself with the latest trends in AI applications within healthcare, as this will show your expertise and passion for the field.
✨Showcase Your Experience
With 4+ years of experience required, be ready to discuss specific projects you've worked on. Highlight your role in creating deliverables and reviewing peer work, as this aligns perfectly with what Mercor is looking for.
✨Communicate Clearly
Since excellent written communication skills are a must, practice articulating your thoughts clearly and concisely. Consider preparing a few examples of your written work to demonstrate your ability to convey complex ideas effectively.
✨Embrace Asynchronous Work
Understand the dynamics of asynchronous work, as this role involves it. Be prepared to discuss how you manage your time and collaborate with others remotely, ensuring that you can contribute effectively to improving AI model performance.