Faith Kwamboka

Key Skills

Software

Scale AI

Top Subject Matter

Chemistry Domain Expertise

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

Chemistry Data Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Invisible AI, and Internal. Education includes a Master of Science, University of Texas – Arlington (2017), and Bachelor of Science, University of Texas – Arlington (2015). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Chemistry Data Specialist

Scale AITextClassification

In this role, I conducted multimodal chemical data annotation and classification for AI model training. I developed a large volume of chemistry-based multiple-choice questions and validated and reviewed datasets to improve data quality. I utilized scientific annotation platforms and chemical data processing tools to optimize the labeling workflow. • Achieved 98% accuracy in labeling chemical structures and reactions • Developed over 1,500 chemistry multiple-choice questions for AI refinement • Improved data quality by 30% through validation and review • Used scientific annotation platforms and chemical data processing tools

In this role, I conducted multimodal chemical data annotation and classification for AI model training. I developed a large volume of chemistry-based multiple-choice questions and validated and reviewed datasets to improve data quality. I utilized scientific annotation platforms and chemical data processing tools to optimize the labeling workflow. • Achieved 98% accuracy in labeling chemical structures and reactions • Developed over 1,500 chemistry multiple-choice questions for AI refinement • Improved data quality by 30% through validation and review • Used scientific annotation platforms and chemical data processing tools

2021 - 2024

Chemistry Content Developer

TextClassification

I created structured chemistry problem sets, lab reports, and multiple-choice questions specifically for AI-driven educational programs. I curated and labeled chemistry datasets to enhance AI model training and worked closely with researchers to improve labeling guidelines. This role required attention to accuracy, dataset quality, and effective content structuring for AI consumption. • Built structured chemistry problem sets for AI tutoring • Curated high-quality labeled chemistry datasets • Collaborated on label guideline improvement • Produced chemistry training materials for AI models

I created structured chemistry problem sets, lab reports, and multiple-choice questions specifically for AI-driven educational programs. I curated and labeled chemistry datasets to enhance AI model training and worked closely with researchers to improve labeling guidelines. This role required attention to accuracy, dataset quality, and effective content structuring for AI consumption. • Built structured chemistry problem sets for AI tutoring • Curated high-quality labeled chemistry datasets • Collaborated on label guideline improvement • Produced chemistry training materials for AI models

2019 - 2021

Chemical Data Annotation & AI Training Certification

Scale AITextClassification

I received formal certification in chemical data annotation and AI training, which provided hands-on training in advanced annotation techniques. The program included practical coursework on labeling chemical datasets, analyzing model outputs, and best practices for quality control. This experience deepened my knowledge of scalable data labeling for chemistry-focused machine learning. • Certified in chemical data annotation for AI • Practiced advanced annotation and dataset QA • Applied best practices in label consistency • Analyzed labeled dataset impact on AI performance

I received formal certification in chemical data annotation and AI training, which provided hands-on training in advanced annotation techniques. The program included practical coursework on labeling chemical datasets, analyzing model outputs, and best practices for quality control. This experience deepened my knowledge of scalable data labeling for chemistry-focused machine learning. • Certified in chemical data annotation for AI • Practiced advanced annotation and dataset QA • Applied best practices in label consistency • Analyzed labeled dataset impact on AI performance

2020 - 2020

Research Assistant – Chemistry & Data Science

TextClassification

I participated in annotating and categorizing large chemical datasets for machine learning in molecular recognition and compound analysis tasks. I conducted quality assurance checks to reduce annotation errors and worked with programming tools to process chemical data. My contributions aimed to improve model training efficiency and overall data reliability. • Annotated and categorized chemical datasets for ML • Performed quality assurance on chemical data labels • Applied Python and SQL for data processing • Enhanced training efficiency for molecular recognition models

I participated in annotating and categorizing large chemical datasets for machine learning in molecular recognition and compound analysis tasks. I conducted quality assurance checks to reduce annotation errors and worked with programming tools to process chemical data. My contributions aimed to improve model training efficiency and overall data reliability. • Annotated and categorized chemical datasets for ML • Performed quality assurance on chemical data labels • Applied Python and SQL for data processing • Enhanced training efficiency for molecular recognition models

2017 - 2019

Education

Work History