Endocrinology AI Consultant - Shape Medical AI

Digitive; México; On-site; MXN 800,000 - 1,000,000; Full time

Job summary

Digitive LLC seeks an Endocrinology AI Consultant to review, validate, and improve AI-driven medical content focused on endocrine disorders and diabetes. You will ensure accuracy, evidence-based guidance, and clinically relevant recommendations.

Ideal candidates hold an MD/DO with endocrinology training, demonstrate strong written communication, and show enthusiasm for AI and healthcare technology. This role emphasizes collaboration with AI teams to elevate model performance.

Qualifications

• MD/DO with specialization or fellowship in Endocrinology.
• Board Certified/Board Eligible in Endocrinology.
• Strong written communication and attention to detail.
• Interest in AI, healthcare technology, and LLMs.
• Ability to critically evaluate and validate medical information.

Responsibilities

• Review and validate AI-generated medical content related to endocrinology.
• Evaluate AI responses related to diabetes, thyroid disorders, hormonal conditions, metabolic disorders, and endocrine diseases.
• Provide expert feedback on diagnosis, treatment approaches, medications, and clinical recommendations.
• Identify inaccuracies, gaps, or inconsistencies in AI-generated medical information.
• Collaborate with AI teams to improve model performance and clinical accuracy.

Skills

Endocrinology expertise

Critical evaluation

Written communication

AI/healthcare tech interest

Attention to detail

Education

MD/DO with endocrinology specialization

Job description

Digitive LLC seeks an Endocrinology AI Consultant to review, validate, and improve AI-driven medical content focused on endocrine disorders and diabetes. You will ensure accuracy, evidence-based guidance, and clinically relevant recommendations.

Ideal candidates hold an MD/DO with endocrinology training, demonstrate strong written communication, and show enthusiasm for AI and healthcare technology. This role emphasizes collaboration with AI teams to elevate model performance.