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For Companies At a Glance
- Tasks: Collaborate on AI research by designing and reviewing healthcare-related questions.
- Company: Join a leading AI organisation making waves in healthcare.
- Benefits: Competitive pay, flexible hours, and remote work options.
- Why this job: Make a real impact on the future of healthcare technology.
- Qualifications: 4+ years as a Registered Nurse and based in the US, UK, or Canada.
- Other info: Work asynchronously with excellent growth opportunities until 2025 and beyond.
We are seeking experienced Registered Nurses to collaborate on a research project with one of the world's leading AI organizations. In this role, you'll leverage your professional expertise to help design and review occupation-related questions that will contribute to the advancement of AI systems in the healthcare domain.
Eligibility Requirements
- Minimum 4+ years of full-time professional experience as a Registered Nurse.
- Must be based in the US, UK, or Canada.
Role Details
- Flexible schedule: The work is fully asynchronous and can be completed at your convenience.
- Commitment: A minimum of 15 hours per week is required (the workload may vary weekly).
- Duration: The project is expected to continue through the end of 2025 and potentially beyond.
- Tools: You will need access to a desktop or laptop computer (Chromebooks are not supported).
Compensation & Contract Terms
- Competitive hourly compensation, aligned with your professional background and location. ($60-$100 per hour)
- Weekly payouts via Stripe Connect based on approved work hours.
- Engagement will be on an "at-will" independent contractor basis.
- Candidates under H1-B or STEM OPT visa status are not eligible at this time.
What You'll Gain
- The opportunity to apply your nursing expertise to real-world AI development.
- A flexible, remote role that fits around your schedule.
- A chance to contribute to an innovative, global research initiative shaping the future of healthcare technology.
Registered Nurses employer: Weekday AI (YC W21)
Contact Detail:
Weekday AI (YC W21) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Registered Nurses
✨Tip Number 1
Network like a pro! Reach out to fellow nurses and professionals in the healthcare tech space. You never know who might have a lead on opportunities or can give you insider info about the role you're eyeing.
✨Tip Number 2
Prepare for virtual interviews by practising common questions. Think about how your nursing experience can translate into the AI realm. We want to see how your skills can help shape the future of healthcare!
✨Tip Number 3
Showcase your expertise! Create a portfolio or a LinkedIn profile that highlights your nursing background and any relevant projects. This will help us see how you can contribute to our innovative research initiative.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Registered Nurses
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 4+ years of nursing experience in your application. We want to see how your background can contribute to our research project, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills align with the project’s goals and how you can help shape AI in healthcare. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you’re the perfect fit for this role. Remember, less is often more!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to review your details and get back to you. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Weekday AI (YC W21)
✨Know Your Nursing Experience
Make sure you can clearly articulate your professional journey as a Registered Nurse. Highlight specific experiences that showcase your expertise, especially those relevant to research and AI in healthcare.
✨Understand the Role
Familiarise yourself with the project details and how your role will contribute to AI development in healthcare. Be prepared to discuss how your skills can help design and review occupation-related questions effectively.
✨Showcase Flexibility
Since the role offers a flexible schedule, be ready to discuss how you manage your time and workload. Share examples of how you've successfully balanced multiple responsibilities in the past.
✨Prepare Questions
Have thoughtful questions ready about the project and the team you'll be working with. This shows your genuine interest and helps you assess if the role aligns with your career goals.