DeepSeek recruits medical interns to boost AI healthcare data quality as 300 hospitals adopt open-source models in China

DeepSeek Seeks Interns for Medical Data Labeling in AI Healthcare

Chinese AI startup DeepSeek is hiring interns to label medical data for its AI-powered healthcare tools. The positions are based in Beijing, offering 500 yuan (approximately US$70) per day with a four-day workweek. Candidates must have a medical background and be either fourth-year undergraduates or master’s degree holders. Additionally, experience with large language models (LLMs), Python programming, and prompt writing for AI models is required.

This marks the first time DeepSeek has explicitly mentioned “medical data” in its labeling tasks. Currently, DeepSeek’s AI models are deployed in at least 300 hospitals across China, supporting clinical diagnostics and medical decision-making.

Medical Expertise is Key for Healthcare AI Training

DeepSeek’s focus on interns with medical knowledge highlights a critical factor in developing healthcare AI: domain-specific expertise. Research confirms that AI algorithms perform best when trained on accurately labeled healthcare data that reflects clinical subtleties. This ensures higher diagnostic accuracy and better patient outcomes.

Combining medical knowledge with technical skills like Python and LLM experience reflects the interdisciplinary approach needed for effective AI development in healthcare. By emphasizing medical domain expertise in data labeling, DeepSeek supports a human-centered process that complements healthcare professionals rather than replacing them.

Open-Source AI Models Boost Healthcare Adoption in China

DeepSeek’s open-source AI models have been adopted by 300 hospitals, demonstrating practical AI use in clinical environments. Open-source models offer hospitals greater control over sensitive patient data, which is crucial for meeting regulatory standards.

Open-source approaches also encourage collaboration among researchers and developers, speeding up innovation in medical AI. Many healthcare institutions prefer open-source solutions for their transparency and adaptability to specific clinical workflows. Studies show these models can match proprietary systems in handling complex medical cases while being more cost-effective.

China Advances Practical AI Healthcare Implementation

The widespread use of DeepSeek’s AI in hundreds of Chinese hospitals positions China as a leader in applying AI in healthcare settings. This contrasts with slower adoption rates in Western healthcare systems, which often face challenges with workflow integration and electronic health records.

Chinese AI firms like DeepSeek develop competitive models at a fraction of the cost of Western counterparts—DeepSeek’s R1 model reportedly cost around $6 million to develop, compared to over $100 million for similar Western models. Their focus on clinical diagnostics and decision support targets areas where AI can provide immediate benefits, addressing rising healthcare costs and efficiency challenges.

By moving quickly from development to hospital deployment, China gains valuable real-world data to improve AI systems further.

For healthcare professionals interested in the intersection of AI and medical expertise, gaining skills in AI model development and data labeling can be valuable. Explore relevant courses on Complete AI Training to stay updated with the latest in AI healthcare applications.