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Cedrick AnzayaCA
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Cedrick Anzaya

@cedrickanzaya

AI training specialist and prompt evaluator improving LLM quality, accuracy, and safety.

Kenya
Message

What I'm looking for

I’m looking for fast-paced AI-focused work where I can evaluate prompts and model responses, improve language model output quality and safety, and apply strong research, QA, and communication skills—preferably freelance, contract, or remote.

I’m an experienced AI training specialist, data annotator, prompt evaluator, content moderator, and researcher with a strong background in tech and process optimization. I focus on evaluating AI prompts and responses for precision, pertinence, comprehensibility, and alignment with quality and safety standards.

In my work, I help uncover inconsistencies, hallucinations, and biased outputs, then provide feedback to enhance language model performance and user experience. I also deliver high-accuracy data labeling for machine learning datasets, perform content moderation to detect inappropriate or harmful material, and support research and fact-checking to keep AI training data reliable.

Experience

Work history, roles, and key accomplishments

AC

AI Training Evaluator

Atlas Capture

Jan 2025 - Present (1 year 4 months)

Reviewed and refined AI-generated answers for precision, pertinence, and comprehensibility, ensuring responses met quality and safety standards. Identified hallucinations and biased outputs, performed research and fact-checking for training data, and provided feedback to improve model performance and user experience.

Education

Degrees, certifications, and relevant coursework

Kirinyaga University logoKU

Kirinyaga University

Bachelor of Science, Software Engineering

Activities and societies: AI Prompt Testing Project: tested conversational AI prompts and selected best responses via structured evaluation. Research & Data Project: researched online and organized information into structured formats with documented evidence and summaries.

Bachelor of Science in Software Engineering, including prompt testing and research/data projects focused on structured evaluation and organizing information with documented evidence.

Tech stack

Software and tools used professionally

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