RN AI Trainer — Clinical Data Annotator for Medical AI

Obsidian; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Obsidian is seeking experienced Adult Inpatient Nurses (RNs) to train and evaluate AI systems used in clinical settings. You will translate bedside documentation into structured feedback to improve AI accuracy, safety, and reliability.

You will annotate nursing assessments, review AI outputs, and provide expert insights while working with technical teams to refine guidelines and benchmarks.

Qualifications

• Active RN license (U.S., outside California) and recent adult acute care inpatient bedside experience.
• Ability to follow detailed annotation guidelines and document assessments clearly.
• Excellent written communication 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

RN license

Adult inpatient care

Annotation guidelines

Documentation skills

Tools

Epic EHR

Job description

Obsidian is seeking experienced Adult Inpatient Nurses (RNs) to train and evaluate AI systems used in clinical settings. You will translate bedside documentation into structured feedback to improve AI accuracy, safety, and reliability.

You will annotate nursing assessments, review AI outputs, and provide expert insights while working with technical teams to refine guidelines and benchmarks.