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Susan wanguiSW
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Susan wangui

@susanwangui

AI Training Specialist | 4 yrs in data annotation, QA, & LLM projects | 98% consistency | Expert in Labelbox, CVAT & Scale AI.

United States
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What I'm looking for

I am seeking a role leveraging my 4 years of experience in data annotation and AI training, with growth into senior annotator or QA lead roles. I value challenging projects, collaborative environments, and opportunities to work on emerging AI domains.

Interests

I am deeply passionate about the precision required in image and video annotation, where every pixel and frame contributes to a model's ability to perceive and interpret the world accurately. I take pride in the meticulous work of maintaining temporal consistency across video sequences, handling complex occlusion scenarios, and ensuring that labeled data reflects real-world conditions with fidelity.

Beyond computer vision, I am fascinated by the critical thinking involved in LLM alignment—crafting prompts, ranking responses, and providing human feedback that teaches language models to be helpful, harmless, and truthful. I enjoy the nuance of understanding user intent and translating that into high-quality training data that shapes model behavior.

I am equally drawn to the analytical rigor of data analytics and feature engineering. I am deeply interested in how annotated data functions as the foundation for feature selection and model performance. I believe that a strong understanding of feature engineering—knowing which data attributes drive predictive power—makes me a more effective annotator and quality reviewer. I enjoy analyzing annotation patterns, identifying edge cases, and thinking critically about how data structuring choices impact downstream model outcomes.

I am also passionate about the ethical dimensions of AI training. I believe that diverse, representative, and carefully curated datasets are essential for building fair and unbiased AI systems. I am committed to contributing to projects that prioritize transparency, inclusivity, and responsible AI development.

I am always eager to learn emerging tools and best practices that enhance both annotation accuracy and downstream model effectiveness. Whether it is exploring new annotation platforms, deepening my understanding of feature engineering techniques, or staying current with advancements in LLM evaluation, I continuously seek opportunities to grow.

Ultimately, I am driven by the belief that high-quality human data is the foundation of intelligent, trustworthy AI. I am excited to bring my expertise, curiosity, and dedication to projects that push the boundaries of what AI can achieve.

Experience

Work history, roles, and key accomplishments

EUROPEAN DYNAMICS logoED

machine learning engineer

Mar 2025 - Jan 2026 (10 months)

Experienced AI Training Specialist with 4 years in data annotation, computer vision, NLP, and LLM workflows. Skilled in quality assurance, team leadership, and training new annotators. Seeking senior annotator, QA lead, or project-focused roles with challenging projects and opportunities for growth.

Education

Degrees, certifications, and relevant coursework

Kirinyaga University logoKU

Kirinyaga University

Bachelor of Science, Computer Science

Currently pursuing a Bachelor of Science degree. Focusing on core principles and advanced topics in the field.

WS

Wanjohi Girls High School

High School Diploma, General Studies

Grade: B

Completed secondary education with a focus on various subjects. Achieved a strong academic performance.

MS

Mugiko Primary School

Primary School Certificate, General Studies

Grade: 330

Completed primary education. Focused on foundational subjects.

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