Rinna Lamano

Key Skills

Software

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Text

Medical Dicom

Top Task Types

Evaluation Rating

Freelancer Overview

I bring over a decade of healthcare and clinical informatics experience, with a strong focus on data annotation, AI model evaluation, and digital health transformation. My recent roles as an AI Expert Trainer and Data Annotator have allowed me to assess and label AI-generated content in medical and general domains, ensuring accuracy, safety, and adherence to evidence-based standards. I am skilled in developing structured evaluation frameworks, identifying errors and edge cases, and providing detailed feedback to improve model reliability—especially for healthcare applications. My hands-on experience with EMR systems like Epic/Connect Care, advanced use of Excel for data analysis, and involvement in clinical research and quality improvement projects have given me a deep understanding of medical data, workflow optimization, and human-AI collaboration. I am passionate about bridging clinical expertise with emerging AI technologies to drive better outcomes and safer, more effective data-driven solutions.

Labeling Experience

AI Data Reviewer – micro1

OtherMedical DicomEvaluation Rating

As an AI Data Reviewer for micro1, I reviewed AI-generated responses using structured quality and accuracy criteria. I identified hallucinations, reasoning errors, and instruction-following issues in model outputs. I documented all findings clearly and consistently per project-specific requirements. • Followed explicit task instructions with high attention to consistency. • Performed evaluation tasks independently in a remote setting. • Ensured findings were presented in accordance with established project documentation practices. • Documented solutions for ambiguous or problematic cases for quality assurance.

As an AI Data Reviewer for micro1, I reviewed AI-generated responses using structured quality and accuracy criteria. I identified hallucinations, reasoning errors, and instruction-following issues in model outputs. I documented all findings clearly and consistently per project-specific requirements. • Followed explicit task instructions with high attention to consistency. • Performed evaluation tasks independently in a remote setting. • Ensured findings were presented in accordance with established project documentation practices. • Documented solutions for ambiguous or problematic cases for quality assurance.

2025

AI Data Annotator / Model Output Reviewer – Outlier / Scale AI

Scale AITextEvaluation Rating

As an AI Data Annotator and Model Output Reviewer at Outlier/Scale AI, I labeled, categorized, and evaluated large volumes of AI-generated text using established rubrics. I scored outputs for factual accuracy, clarity, instruction adherence, and safety. I performed comparative ranking of model responses and consistently applied detailed annotation guidelines. • Conducted high-throughput annotation tasks with precision and consistency. • Resolved ambiguous cases using documented project rules. • Maintained stringent quality standards in a metrics-driven environment. • Utilized Scale AI and Outlier platforms for structured data annotation tasks.

As an AI Data Annotator and Model Output Reviewer at Outlier/Scale AI, I labeled, categorized, and evaluated large volumes of AI-generated text using established rubrics. I scored outputs for factual accuracy, clarity, instruction adherence, and safety. I performed comparative ranking of model responses and consistently applied detailed annotation guidelines. • Conducted high-throughput annotation tasks with precision and consistency. • Resolved ambiguous cases using documented project rules. • Maintained stringent quality standards in a metrics-driven environment. • Utilized Scale AI and Outlier platforms for structured data annotation tasks.

2025

Education

Work History