David Mburu

Key Skills

Software

Appen

AWS SageMaker

Axiom AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Top Label Types

Question Answering

Text Generation

Translation Localization

Data Collection

Audio Recording

Prompt Response Writing SFT

Text Summarization

Freelancer Overview

I am an AI data annotation specialist with hands-on experience in creating high-quality training datasets for machine learning models. My background in computer science and data analysis enables me to interpret complex structured data, craft realistic Q&A pairs, and ensure linguistic clarity and contextual accuracy in annotated outputs. I have worked extensively with SQL databases (PostgreSQL, MySQL) and Python to extract, validate, and summarize data, supporting both AI model development and data-driven business processes. My recent projects include designing Q&A generation systems and structured data interpretation pipelines to improve the quality of AI training data. I am skilled in remote, independent work environments, consistently delivering accurate results on time using tools such as Git, Microsoft Excel, and Google Workspace. My attention to detail and commitment to quality make me a reliable contributor to any data labeling or AI training initiative.

Labeling Experience

AI Q&A Data Generation System (Project)

Aws SagemakerAudioPrompt Response Writing SFTAudio Recording

I designed structured prompts to generate high-quality labeled data simulating real-world transactional scenarios for AI training. My efforts ensured logical consistency and clarity between database outputs and generated responses. The work enhanced dataset usability through structured data formatting. • Designed prompts for real-world banking scenarios • Generated labeled data for AI model training • Validated outputs for logical consistency • Reformatted data for clarity and standardized input

I designed structured prompts to generate high-quality labeled data simulating real-world transactional scenarios for AI training. My efforts ensured logical consistency and clarity between database outputs and generated responses. The work enhanced dataset usability through structured data formatting. • Designed prompts for real-world banking scenarios • Generated labeled data for AI model training • Validated outputs for logical consistency • Reformatted data for clarity and standardized input

2024

AI Data Annotation Specialist (Independent Contractor)

AppenAudioQuestion AnsweringText Generation

I performed high-accuracy data labeling and annotation for AI and machine learning training datasets as an AI Data Annotation Specialist. My responsibilities included creating structured question-and-answer pairs and conducting quality checks for consistency and guideline compliance. I also interpreted SQL query results and translated them into clear, human-readable responses. • Created question-and-answer (Q&A) pairs from database outputs • Conducted quality assurance and labeling error correction • Translated SQL query results for dataset clarity • Maintained productivity and reliability remotely

I performed high-accuracy data labeling and annotation for AI and machine learning training datasets as an AI Data Annotation Specialist. My responsibilities included creating structured question-and-answer pairs and conducting quality checks for consistency and guideline compliance. I also interpreted SQL query results and translated them into clear, human-readable responses. • Created question-and-answer (Q&A) pairs from database outputs • Conducted quality assurance and labeling error correction • Translated SQL query results for dataset clarity • Maintained productivity and reliability remotely

2024

Structured Data Interpretation Project (Project)

Axiom AITextText Summarization

I converted raw database outputs into structured, readable summaries for transactional and account datasets. Through this project, I ensured consistency and logical alignment across all processed data. The final results improved dataset quality for further AI and analytical use. • Built SQL queries for data extraction • Summarized complex transactional data • Checked processed data for consistency • Enhanced readability and data reliability

I converted raw database outputs into structured, readable summaries for transactional and account datasets. Through this project, I ensured consistency and logical alignment across all processed data. The final results improved dataset quality for further AI and analytical use. • Built SQL queries for data extraction • Summarized complex transactional data • Checked processed data for consistency • Enhanced readability and data reliability

2023 - 2023

Education

Work History