Kennedy Muriuki

Key Skills

Software

Other

Mercor

Remotasks

Toloka

AWS SageMaker

Appen

Top Subject Matter

Large Language Models

AI model evaluation

Text mining

Top Data Types

Text

Document

Image

Top Task Types

Entity (NER) Classification

RLHF

Fine-tuning

Computer Programming/Coding

Data Collection

Prompt + Response Writing (SFT)

Question Answering

Segmentation

Classification

Text Summarization

Text Generation

Freelancer Overview

AI Research Associate, Scale AI. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI and Other. Education includes Bachelor of Science, Maseno University (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

AI Research Associate, Scale AI

Scale AIText

Evaluated AI model performance and conducted structured error analysis on outputs from various LLMs. Generated actionable feedback to improve prompt design and influence model tuning and output consistency. Used Python pipelines to automate model evaluation, reducing manual validation and standardizing output comparisons across GPT-4, Claude, and Mistral. • Evaluated outputs using RLHF and custom metrics • Documented errors to improve prompt engineering • Automated model evaluation pipelines for reliability • Provided analysis for model tuning and output consistency

Evaluated AI model performance and conducted structured error analysis on outputs from various LLMs. Generated actionable feedback to improve prompt design and influence model tuning and output consistency. Used Python pipelines to automate model evaluation, reducing manual validation and standardizing output comparisons across GPT-4, Claude, and Mistral. • Evaluated outputs using RLHF and custom metrics • Documented errors to improve prompt engineering • Automated model evaluation pipelines for reliability • Provided analysis for model tuning and output consistency

2023 - 2025

Undergraduate Researcher – Machine Learning, Maseno University

OtherTextEntity Ner Classification

Labeled and annotated datasets for sentiment and entity extraction experiments using Python pipelines. Managed data scraping, preprocessing, and labeling processes to achieve high-accuracy AI model training datasets. Automated data collection to significantly reduce time required for dataset preparation. • Conducted sentiment and entity recognition labeling • Developed pipelines for efficient labeling and preprocessing • Ensured quality and consistency in AI training data • Achieved 95% accuracy in sentiment/entity extraction tasks

Labeled and annotated datasets for sentiment and entity extraction experiments using Python pipelines. Managed data scraping, preprocessing, and labeling processes to achieve high-accuracy AI model training datasets. Automated data collection to significantly reduce time required for dataset preparation. • Conducted sentiment and entity recognition labeling • Developed pipelines for efficient labeling and preprocessing • Ensured quality and consistency in AI training data • Achieved 95% accuracy in sentiment/entity extraction tasks

2021 - 2022

Education

Work History