Hi, I'm Faith Munguti, a Certified Healthcare Data Annotation Specialist with over 7 years of experience in developing training datasets for U.S. healthcare AI systems. I specialize in clinical NLP annotation and have successfully improved model accuracy at respected healthcare organizations like Kaiser Permanente and UCSF Health. With a strong background in Python and Angular, I combine my technical skills with deep knowledge of HIPAA-compliant data handling for AI applications. I'm passionate about reducing healthcare disparities through better AI and ensuring AI safety in clinical decision support. My experience extends to working with FDA-approved AI medical devices, and I enjoy leading teams and developing guidelines that have been adopted by multiple hospital systems. I’m excited about leveraging my expertise to contribute to impactful projects in the healthcare AI space.

Faith Munguti

Hi, I'm Faith Munguti, a Certified Healthcare Data Annotation Specialist with over 7 years of experience in developing training datasets for U.S. healthcare AI systems. I specialize in clinical NLP annotation and have successfully improved model accuracy at respected healthcare organizations like Kaiser Permanente and UCSF Health. With a strong background in Python and Angular, I combine my technical skills with deep knowledge of HIPAA-compliant data handling for AI applications. I'm passionate about reducing healthcare disparities through better AI and ensuring AI safety in clinical decision support. My experience extends to working with FDA-approved AI medical devices, and I enjoy leading teams and developing guidelines that have been adopted by multiple hospital systems. I’m excited about leveraging my expertise to contribute to impactful projects in the healthcare AI space.

Available to hire

Hi, I’m Faith Munguti, a Certified Healthcare Data Annotation Specialist with over 7 years of experience in developing training datasets for U.S. healthcare AI systems. I specialize in clinical NLP annotation and have successfully improved model accuracy at respected healthcare organizations like Kaiser Permanente and UCSF Health. With a strong background in Python and Angular, I combine my technical skills with deep knowledge of HIPAA-compliant data handling for AI applications.

I’m passionate about reducing healthcare disparities through better AI and ensuring AI safety in clinical decision support. My experience extends to working with FDA-approved AI medical devices, and I enjoy leading teams and developing guidelines that have been adopted by multiple hospital systems. I’m excited about leveraging my expertise to contribute to impactful projects in the healthcare AI space.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Data Annotation Specialist at Latitude AI
March 1, 2023 - Present
Lead annotator for L4 autonomous vehicle project responsible for labeling over 18,000 2D camera images and 3D LiDAR sequences with 99.4% accuracy. Developed novel guidelines to handle rare edge cases such as obscured pedestrians. Implemented a tiered review system that reduced annotation errors by 38%. Presented monthly quality reports to the engineering team influencing model improvements.
AI Training Consultant at DataAnnotation Tech
February 28, 2023 - July 20, 2025
Built training datasets for a Fortune 500 AI chatbot by annotating over 35,000 conversational turns with intent and sentiment tags. Improved natural language understanding (NLU) accuracy by 27% through iterative feedback. Trained and certified 15 annotators across US time zones.
Data Quality Lead at Remotasks US
December 31, 2020 - July 20, 2025
Established quality assurance protocols for a medical AI startup including designing annotation rubrics for radiology image labeling. Achieved FDA-compliance readiness for the training data and reduced rework rate from 12% to 3% by introducing a real-time feedback system.
Front-End Developer at Freelance (US Clients)
January 1, 2020 - Present
Developed an Angular-based annotation tool for a legal tech startup, reducing labeling time per document by 40%. Integrated the tool with AWS SageMaker to enable active learning capabilities.
Senior Data Annotation Specialist at Latitude AI
March 1, 2023 - Present
Lead annotator for L4 autonomous vehicle project, labeling over 18,000 2D camera images and 3D LiDAR sequences with 99.4% accuracy. Developed novel guidelines for rare-edge cases such as obscured pedestrians. Implemented a tiered review system that reduced annotation errors by 38%, and presented monthly quality reports to the engineering team that informed model improvements.
AI Training Consultant at DataAnnotation Tech
February 28, 2023 - July 20, 2025
Built training datasets for Fortune 500 AI chatbot by annotating over 35,000 conversational turns with intent and sentiment tags. Improved natural language understanding accuracy by 27% through iterative feedback cycles. Trained and certified 15 annotators across different US time zones.
Data Quality Lead at Remotasks US
December 31, 2020 - July 20, 2025
Established quality assurance protocols for a medical AI startup, designing annotation rubrics for radiology image labeling and achieving FDA-compliance readiness for training data. Reduced rework rate from 12% to 3% through a real-time feedback system.
Front-End Developer at Freelance (US Clients)
January 1, 2020 - Present
Developed Angular-based annotation tool for a legal tech startup that reduced labeling time per document by 40%. Integrated the tool with AWS SageMaker for active learning capabilities.
Senior AI Data Annotator at DataAnnotation Tech
March 1, 2023 - Present
Lead annotator for CMS NLP project, improving claim processing accuracy by 27%. Developed annotation guidelines adopted by 3 U.S. hospital systems. Trained and managed 12 annotators across U.S. time zones.
Healthcare Data Specialist at Remotasks
August 31, 2023 - July 24, 2025
Annotated over 50,000 clinical notes from Massachusetts General Hospital. Achieved a 99.6% accuracy rate on diagnostic intent labeling.
Front-End Developer (Contract) at Bay Area Health Tech Startups
January 1, 2020 - Present
Built patient portal interfaces for HIPAA-compliant applications.

Education

M.Sc. Computer Science at Stanford University
September 1, 2018 - June 30, 2020
B.Sc. Computer Science at University of California, Berkeley
August 1, 2014 - May 31, 2018
M.Sc. Computer Science at Stanford University
September 1, 2018 - June 30, 2020
B.Sc. Computer Science at University of California, Berkeley
August 1, 2014 - May 31, 2018
M.S. Computer Science at Stanford University
September 1, 2018 - June 30, 2020
B.S. Computer Science at UC Berkeley
September 1, 2014 - May 31, 2018

Qualifications

AWS Certified Data Analytics Specialty
January 1, 2023 - December 31, 2023
Professional Annotation Certification - Scale AI
January 1, 2022 - December 31, 2022
Responsible AI Principles - Microsoft
January 1, 2021 - December 31, 2021
AWS Certified Data Analytics Specialty
January 1, 2023 - December 31, 2023
Professional Annotation Certification - Scale AI
January 1, 2022 - December 31, 2022
Responsible AI Principles - Microsoft
January 1, 2021 - December 31, 2021
Certified Healthcare Data Analyst (CHDA)
January 11, 2030 - July 24, 2025
HIPAA Professional (HIPAA-P)
January 11, 2030 - July 24, 2025
American Health Information Management Association (AHIMA) Membership
January 11, 2030 - July 24, 2025
Association for Computational Linguistics (ACL) - Healthcare NLP Special Interest Group Membership
January 11, 2030 - July 24, 2025

Industry Experience

Software & Internet, Transportation & Logistics, Healthcare, Professional Services, Life Sciences, Government