
Nursing Talent Network | $60-$120/hr Remote
Overview
This is an open invitation to join a remote nursing expert network that connects professionals with AI companies seeking clinical knowledge. You'll help train and evaluate AI models by applying real-world nursing experience to tasks and feedback. The role is contract-based with flexible hours, typically 15-30 per week, and offers competitive pay of $60-$120 per hour. What sets this apart is the chance to shape frontier AI research while working on your own schedule.
What You'll Do5
- 1Support the training and evaluation of AI models by applying nursing expertise to real-world scenarios.
- 2Design and complete tasks that reflect actual clinical situations, from patient monitoring to medication protocols.
- 3Provide detailed, domain-specific feedback to improve the accuracy and safety of AI systems.
- 4Participate in project-based work with varying scope, collaborating remotely with AI labs and companies.
- 5Contribute to ongoing quality assurance by assessing model outputs against nursing standards.
Requirements4
- 1Hands-on professional experience in patient care, including monitoring and medication administration.
- 2Strong ability to document clinical information accurately and thoroughly.
- 3Excellent communication skills to articulate domain insights clearly to non-clinical teams.
- 4Comfortable working independently in a fully remote environment, managing your own schedule.
Who Should Apply
The ideal candidate is a nursing professional with solid clinical experience who is curious about AI and how it can be improved. You're self-directed, comfortable working remotely, and able to explain complex clinical reasoning in simple terms. If you're looking for flexible, project-based work that leverages your expertise in a non-traditional setting, this network is a great fit.
Salary Insight
Competitive hourly rate of $60-$120 per hour, depending on project and expertise.
Location
Required Skills
Application Tip
When building your profile, include specific examples of clinical challenges you've solved — this helps the network match you to projects where your niche experience is most valuable.
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