Joseph Kimani

Key Skills

Software

CVAT

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Top Data Types

Text

Top Label Types

Computer Programming Coding

Data Collection

Prompt Response Writing SFT

Transcription

Freelancer Overview

With a PhD in Computer Science and a strong background in artificial intelligence and machine learning, I have extensive experience in designing, implementing, and evaluating computational models that rely on high-quality data. My research has involved applying data-driven techniques to analyze complex problems, where accurate data labeling and annotation were essential for training and validating AI systems. I am proficient in Python and SQL, and well-versed in data analysis, algorithms, and experimental design. I am passionate about ensuring data quality and integrity for AI projects, and am committed to leveraging my technical and analytical skills to contribute to impactful data labeling and annotation initiatives across domains such as data science, big data analytics, and intelligent systems.

Labeling Experience

AI Training & Data Annotation for Machine Learning Models

CVATTextComputer Programming CodingData Collection

Worked on AI data labeling and annotation projects supporting the training and evaluation of large language models (LLMs). Tasks included annotating and classifying text datasets, performing named entity recognition (NER), reviewing AI-generated responses, and validating labeled data against detailed guidelines. Ensured high data quality through consistency checks, error identification, and peer review. Applied strong analytical and research skills to handle complex academic and technical content, contributing to improved model accuracy, reliability, and performance.

Worked on AI data labeling and annotation projects supporting the training and evaluation of large language models (LLMs). Tasks included annotating and classifying text datasets, performing named entity recognition (NER), reviewing AI-generated responses, and validating labeled data against detailed guidelines. Ensured high data quality through consistency checks, error identification, and peer review. Applied strong analytical and research skills to handle complex academic and technical content, contributing to improved model accuracy, reliability, and performance.

2018 - 2024

Education

Work History