At a Glance
- Tasks: Train and evaluate AI models by reviewing clinical responses and providing feedback.
- Company: Prolific, a forward-thinking company based in Oxford.
- Benefits: Earn up to $65 per hour for just one hour of work.
- Other info: Flexible work with a reliable internet connection required.
- Why this job: Be at the forefront of AI in healthcare and make a real difference.
- Qualifications: Must have a valid nursing licence and recent clinical experience.
The predicted salary is between 52000 - 68000 € per year.
Prolific in Oxford is seeking registered nurses to help train and evaluate AI models. You'll complete a brief eligibility assessment and, if successful, join as a Domain Expert, getting paid up to $65 per hour for tasks requiring one hour of work.
Responsibilities include:
- Reviewing AI-generated clinical responses
- Rating their accuracy
- Providing feedback to improve AI models
Applicants must have:
- A valid nursing license
- Recent clinical experience
- A reliable internet connection
Clinical RN - AI Trainer & Model Evaluator in Oxford employer: Prolific
Prolific in Oxford offers a unique opportunity for registered nurses to engage in cutting-edge AI training and evaluation, providing a rewarding work environment that values clinical expertise. With competitive pay of up to $65 per hour and flexible one-hour tasks, employees can enjoy a balanced work-life dynamic while contributing to innovative healthcare solutions. The company fosters a culture of collaboration and continuous learning, ensuring that team members have ample opportunities for professional growth and development in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical RN - AI Trainer & Model Evaluator in Oxford
✨Tip Number 1
Network like a pro! Reach out to fellow nurses or professionals in the AI field. You never know who might have a lead on opportunities or can give you insider tips on landing that Clinical RN role.
✨Tip Number 2
Prepare for those interviews! Brush up on your clinical knowledge and be ready to discuss how your experience can help improve AI models. We want to see your passion for both nursing and technology!
✨Tip Number 3
Showcase your skills! If you’ve got any experience with AI or tech in healthcare, make sure to highlight it. We love seeing candidates who can bridge the gap between nursing and technology.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team and help shape the future of AI in healthcare.
We think you need these skills to ace Clinical RN - AI Trainer & Model Evaluator in Oxford
Some tips for your application 🫡
Show Off Your Nursing Skills:Make sure to highlight your nursing experience and any relevant clinical skills in your application. We want to see how your background makes you a perfect fit for training and evaluating AI models!
Be Clear and Concise:When filling out your application, keep your answers straightforward and to the point. We appreciate clarity, so avoid fluff and get straight to what makes you an ideal candidate.
Tailor Your Application:Don’t just send a generic application! Take a moment to customise your responses to align with the job description. We love seeing how you connect your experience to the role of AI Trainer & Model Evaluator.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of success. It’s super easy, and we’ll be able to review your application more efficiently!
How to prepare for a job interview at Prolific
✨Know Your Stuff
Make sure you're up to speed with the latest in AI and clinical practices. Brush up on how AI is being used in healthcare, especially in training and evaluating models. This will show your passion for the role and your understanding of the intersection between nursing and technology.
✨Showcase Your Experience
Be ready to discuss your recent clinical experience in detail. Think about specific cases where you’ve had to evaluate or provide feedback on clinical responses. This will help demonstrate your expertise and how it relates to the responsibilities of the job.
✨Prepare Questions
Have a few thoughtful questions ready to ask during the interview. This could be about the AI models you'll be working with or how feedback is integrated into their training process. It shows that you're engaged and genuinely interested in the role.
✨Technical Readiness
Since this role requires a reliable internet connection, ensure your tech setup is solid. Test your equipment beforehand and be prepared to discuss how you’ll manage remote work effectively. This will reassure them that you can handle the job's demands without any hiccups.
