Medical Specialist

Role: Medical Specialist

Taskify AI is seeking experienced healthcare professionals to provide clinical validation and domain expertise for our AI healthcare applications. This flexible remote contract opportunity leverages 3+ years of nursing-level or higher clinical experience to ensure medical accuracy, patient safety, and relevance in AI system outputs.

Key Responsibilities

• Validate clinical content, scenarios, and annotations for medical AI workflows.
• Review AI model outputs related to nursing practices and patient care standards.
• Advise on clinical guidelines, best practices, and potential safety concerns.
• Develop realistic clinical use cases and medical question datasets.

Essential Qualifications

• Nursing license, MD, PhD, or equivalent higher medical education.
• 3+ years clinical experience in patient care settings.
• Strong medical terminology, procedures, and standards of care knowledge.
• Experience with clinical documentation or case review processes.
• Excellent communication for technical and non-clinical audiences.

Project Benefits

• Fully remote with self-managed scheduling flexibility.
• High hourly compensation reflecting clinical expertise level.
• Contribute to advancing safe, accurate healthcare AI systems.
• Weekly international payments with no patient care liability.

Contractor Terms

• Independent contractor engagement (no employment relationship).
• Project duration flexible based on performance and needs.
• No H1-B/STEM OPT sponsorship available.
• No confidential/proprietary patient data handling required.

Application Process

• Submit credentials highlighting clinical experience and licensure.
• Complete medical expertise assessment or case review sample.
• Qualified candidates onboarded to active projects immediately.

Equal Opportunity

All qualified medical professionals are considered regardless of protected characteristics. Selection is based purely on clinical expertise and validation accuracy.

Key skills/competency

• Clinical validation
• Medical domain expertise
• AI healthcare applications
• Patient safety
• Clinical guidelines
• Medical terminology
• Patient care standards
• Clinical documentation
• Data annotation
• Healthcare technology