Open to opportunities

Fredrick Kamau

@fredrickkamau2

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I’m an AI/LLM trainer improving data quality, RLHF, and model safety.

Kenya

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What I'm looking for

I’m looking to join a team that values careful evaluation and dataset quality—using RLHF and prompt engineering to improve safety, accuracy, and helpfulness. I want to work on real model edge cases and continuous QA improvement.

I’m a detail-oriented Data Annotator and AI Trainer with over 3 years of experience enhancing Large Language Models (LLMs) and refining datasets for AI development. I focus on high-quality labeling, RLHF (Reinforcement Learning from Human Feedback), and prompt engineering to help models become more accurate, safe, and helpful.

At RWS and Remotasks, I evaluated and ranked LLM-generated responses based on accuracy, safety, and helpfulness. I applied complex labeling guidelines, collaborated with cross-functional teams to identify edge cases, and maintained a consistent quality score (QA) above 90% across labeling tasks.

I bring technical depth from a background in cybersecurity and networking, which shapes a disciplined approach to data privacy, security protocols, and complex technical documentation. I use that mindset to ensure training data and outputs meet quality and safety expectations.

Outside of labeling work, I’ve built Python-based automation scripts for data collection and processing and worked as a Freelancer & Data Science Tutor. I guide students through Machine Learning and Data Science projects and support research and academic writing with technical accuracy and strong structure.

Experience

Work history, roles, and key accomplishments

Current

Freelance Data Science Tutor

Current

Independent

Jan 2022 - Present (4 years 5 months)

Built Python-based automation scripts for data collection and processing, and mentored students through Machine Learning and Data Science projects. Conducted research and produced academic writing with a focus on technical accuracy and strong structure.

Python Data Collection Data Processing Scripting Machine Learning Tutoring Research Writing

AI/LLM Trainer

RWS

Sep 2025 - Nov 2025 (2 months)

Evaluated and ranked LLM-generated responses for accuracy, safety, and helpfulness while applying complex labeling guidelines to improve training data quality. Collaborated with cross-functional teams to identify edge cases in model performance.

LLM Evaluation Data Labeling Prompt Engineering Safety & Helpfulness Scoring Quality Assurance Edge Cases Cross Functional Collaboration

AI/LLM Trainer

Remotasks

Jan 2021 - Jan 2023 (2 years)

Performed large-scale data annotation across text classification and image segmentation projects to support AI model development and reasoning. Maintained QA quality scores above 90% across labeling tasks and provided detailed feedback on model outputs.

Data Annotation Segmentation QA Quality Assurance Sentiment Analysis