RN AI Training & Data Annotation Specialist

Obsidian; San Francisco (CA); Remote; USD 70,000 - 110,000; Full time

Job summary

Obsidian is hiring experienced Adult Inpatient Nurses (RNs) to help train and evaluate AI systems used in clinical and healthcare settings. You’ll translate bedside documentation practices into structured feedback for AI systems, applying frontline nursing judgment to improve accuracy and safety.

Key responsibilities include evaluating AI outputs, annotating inpatient data, and collaborating with technical teams to refine models and benchmarks.

Qualifications

• Active RN license (US, outside California).
• Recent adult acute care inpatient bedside experience, ideally in a non-procedural area.
• Experience within the last 5–10 years, prioritizing current workflows and documentation practices.
• Comfortable performing and documenting comprehensive nursing assessments.
• Comfortable following detailed annotation guidelines consistently.
• Excellent written communication skills and responsiveness to feedback.
• Ability to work independently and meet deadlines.

Responsibilities

• Review and evaluate AI-generated clinical outputs based on nursing flowsheet documentation.
• Validate accuracy, completeness, and adherence to current documentation standards.
• Annotate and structure inpatient nursing assessment data for AI training datasets.
• Provide expert feedback on nursing assessments and documentation practices.
• Identify gaps, inconsistencies, or risks in AI-generated responses.
• Ask clarifying questions when annotation guidance is ambiguous, and contribute to guideline refinement.
• Collaborate with technical teams to improve model performance.
• Contribute to the development of high-quality clinical benchmarks.

Skills

Active RN license

Acute care

Detail oriented

Written communication

Independent worker

Tools

Epic EHR

Job description

Obsidian is hiring experienced Adult Inpatient Nurses (RNs) to help train and evaluate AI systems used in clinical and healthcare settings. You’ll translate bedside documentation practices into structured feedback for AI systems, applying frontline nursing judgment to improve accuracy and safety.

Key responsibilities include evaluating AI outputs, annotating inpatient data, and collaborating with technical teams to refine models and benchmarks.