At a Glance
- Tasks: Contribute your nursing expertise to groundbreaking AI research and review deliverables.
- Company: Join a leading AI lab at Obsidian, pushing the boundaries of technology.
- Benefits: Flexible remote work, competitive pay, and the chance to shape the future of AI.
- Other info: Work independently with opportunities for increased hours and professional growth.
- Why this job: Make a real impact in AI research while enjoying a work-life balance.
- Qualifications: Must be a registered nurse with 4+ years of experience.
The predicted salary is between 30000 - 40000 £ per year.
Obsidian is seeking experienced registered nurses to join a leading AI lab, focusing on advancing research in machine learning systems. This role allows you to work independently and remotely, with a flexible schedule, contributing your expertise to cutting-edge AI research.
With 4+ years of professional experience, you'll create and review deliverables, supporting improvements in AI research. The expected workload is 30 hours per week, with the opportunity to increase to 40 hours as required.
Remote AI Research Nurse (30-40h/wk, 3-4 wks) employer: Obsidian
Obsidian is an exceptional employer that values the expertise of its registered nurses, offering a unique opportunity to work remotely in a pioneering AI lab. With a flexible schedule and a focus on professional growth, employees are encouraged to contribute meaningfully to innovative research while enjoying a supportive work culture that prioritises work-life balance and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Research Nurse (30-40h/wk, 3-4 wks)
✨Tip Number 1
Network like a pro! Reach out to fellow nurses and AI researchers on LinkedIn or other platforms. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work in nursing and any relevant AI projects. This will help you stand out during interviews and demonstrate your expertise in both fields.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online resources to refine your answers. Focus on how your nursing experience can contribute to AI research, as this is key for the role.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets seen by the right people. Plus, you'll be part of a community that values your expertise in advancing AI research.
We think you need these skills to ace Remote AI Research Nurse (30-40h/wk, 3-4 wks)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your nursing experience and any relevant skills in AI or research. We want to see how your background fits with our cutting-edge projects, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your nursing expertise can contribute to our research. Keep it engaging and personal – we love to see your personality!
Showcase Your Experience:With 4+ years of experience, make sure to detail your previous roles and responsibilities. We’re looking for specific examples of how you’ve contributed to improvements in healthcare or research.
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’re considered for this exciting opportunity in our AI lab!
How to prepare for a job interview at Obsidian
✨Know Your Stuff
Make sure you brush up on your nursing knowledge, especially how it intersects with AI and machine learning. Be ready to discuss your past experiences and how they can contribute to the research at Obsidian.
✨Showcase Your Independence
Since this role is remote and requires a lot of self-management, be prepared to share examples of how you've successfully worked independently in the past. Highlight your time management skills and ability to meet deadlines without constant supervision.
✨Prepare for Technical Questions
Expect some technical questions related to AI and machine learning. Familiarise yourself with basic concepts and be ready to explain how your nursing background can enhance AI research. This will show that you’re not just a nurse, but a valuable asset to their team.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the specific projects you might work on or how the team collaborates remotely. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
