Remote Health Data Annotator for AI Training

Frontier AI Lab; United States; A distancia; USD 28.000 - 41.000; Jornada completa

Descripción de la vacante

Remotebridge is seeking Health Experts to contribute domain knowledge to a health data project. You will train AI systems with high-quality, real-world input, focusing on accuracy and clear health information for models to learn from.

No AI prior experience required; your clinical or health science expertise matters most. This is a remote, contractor role leveraging your health background to shape model reasoning and performance.

Formación

• Bachelor’s degree or equivalent in a health-related field.
• Experience in data annotation or health data projects is a strong plus.
• Excellent reading and summarizing of health information with attention to detail.

Responsabilidades

• Review and analyze health-related content, including clinical scenarios, medication information, and patient care records.
• Annotate and provide structured feedback on long-form and multi-turn conversational data in health contexts.
• Craft comprehensive written explanations and responses to complex medical, nursing, or pharmaceutical queries.
• Ensure accuracy, clarity, and compliance with up-to-date health science standards.
• Collaborate with project managers and other experts to refine guidelines and improve data quality.
• Apply careful reading to compare, contrast, and evaluate paired responses for depth and correctness.

Conocimientos

Written English

Verbal communication

Educación

Bachelor’s degree or equivalent in Nursing/Medicine/Pharmacy/Health Science

Descripción del empleo

Remotebridge is seeking Health Experts to contribute domain knowledge to a health data project. You will train AI systems with high-quality, real-world input, focusing on accuracy and clear health information for models to learn from.

No AI prior experience required; your clinical or health science expertise matters most. This is a remote, contractor role leveraging your health background to shape model reasoning and performance.