Machine Learning Quality Assurance

Cyprian Ozigbo

Austin, Texas 470-***-**** *************@*****.***

PROFESSIONAL SUMMARY

Detail-oriented and highly motivated QA Data Annotator with 4 years of experience in data labeling, quality assurance, and machine learning model training. Adept at accurately classifying, tagging, and reviewing data for AI systems while ensuring high-quality standards. Strong analytical skills, attention to detail, and proficiency in annotation tools and techniques. Passionate about contributing to AI development through meticulous data annotation and quality assurance processes.

SKILLS

• Data annotation and labeling (text, image, video, and audio)

• Quality assurance and validation of labeled data

• Proficiency in annotation tools (e.g., Labelbox, CVAT, Amazon SageMaker Ground Truth, Prodigy)

• Machine learning dataset preparation

• Strong analytical and problem-solving skills

• Attention to detail and pattern recognition

• Knowledge of AI and machine learning workflows

• Experience with data handling and classification

• Collaboration with AI/ML teams and data scientists

• Familiarity with programming languages (Python, SQL, or R is a plus) EXPERIENCE

Quality Annotation Specialist – Contract

Snorkel AI January 2025 – Present

• Annotate and classify datasets with high accuracy for AI and machine learning models.

• Conduct quality assurance checks on labeled data to ensure consistency and reliability.

• Collaborate with data scientists and engineers to refine annotation guidelines.

• Identify and correct annotation inconsistencies to improve model training.

• Use various annotation platforms and tools to label images, text, audio, and videos.

• Maintain productivity and accuracy targets in a fast-paced annotation environment. Wellsite Geologist – Data Geologist

Columbine Corporation March 2023 – Present

• Conduct geological data collection, analysis, and reporting for exploration projects.

• Develop and interpret geological and geophysical models for subsurface evaluations.

• Ensure data accuracy and integrity through quality control and assurance methodologies. QA Analyst – Data Annotation Specialist

Scale AI February 2023 – December 2024

• Reviewed and verified labeled data to enhance AI model performance.

• Assisted in developing annotation guidelines and best practices.

• Provided feedback and suggestions to improve labeling efficiency.

• Ensured adherence to data security and privacy standards in annotation tasks. Career Break – Graduate Student (Masters in Geosciences) Georgia State University January 2021 – December 2022

• Research and Course work

QA Software Engineer

TalentUp Africa September 2018 – December 2020

• Created detailed, comprehensive, and well-structured test plans and test cases.

• Estimated prioritized, planned, and coordinated testing activities.

• Designed, developed, and executed automation scripts using open-source tools like JIRA.

• Identified, recorded, documented thoroughly, and tracked bugs. EDUCATION

M.S Geosciences

Georgia State University December 2022

Relevant coursework: Data Science, Machine Learning, AI Ethics, Computer Science TOOLS & TECHNOLOGIES

• Annotation tools: Labelbox, CVAT, VGG Image Annotator, Prodigy, Supervisely

• Programming languages: Python, SQL (basic knowledge is a plus)

• Data processing tools: Excel, Pandas, OpenCV (if relevant)

• AI/ML frameworks: TensorFlow, PyTorch (familiarity is beneficial)

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