Medcruit is a modern, AI-enabled platform built to accelerate innovation in healthcare by removing recruitment barriers. With a presence in over 100 countries and a growing network of 50,000+ professionals, Medcruit specializes exclusively in HealthTech, curating talent that blends clinical expertise with technological fluency.
Mission: To revolutionize HealthTech recruitment by creating a borderless ecosystem that connects exceptional talent with organizations driving medical innovation.
Vision: A world where breakthroughs in medicine and technology are never delayed by talent gaps—where recruitment fuels progress, not friction.
Medcruit operates at the intersection of healthcare and technology, supporting roles from executive leadership to technical specialists. It partners with startups, scale-ups, and global enterprises to deliver talent that’s not only qualified—but mission-aligned.
Contract Type: Hourly (Remote)
Compensation: $60–$80 per hour
A leading AI research initiative is seeking experienced Medical Secretaries and Administrative Assistants to contribute domain expertise toward the development of next-generation machine learning systems. This project focuses on identifying and solving real-world challenges within medical administration, helping AI systems better understand and replicate professional workflows.
Participants will work independently and remotely, contributing to cutting-edge research while maintaining full control over their schedules.
This opportunity is part of a broader effort to connect domain experts with frontier AI research labs. Thousands of professionals across fields such as engineering, law, healthcare, and creative services have contributed to advancing AI capabilities through similar engagements.
All qualified applicants are considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
Level: Intermediate
Type: Part-time
Industry: Healthcare Services
Application Deadline: 2025-11-10
Apply Here: View Job Posting on LinkedIn
