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Newton Kiogora

Newton Kiogora

AI Data Specialist - Structured Data Annotation

KENYA flag
Nairobi, Kenya
$18.00/hrEntry LevelDon T Disclose

Key Skills

Software

Don't disclose

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Label Types

Question Answering

Freelancer Overview

I am an AI annotation specialist and database analyst with a strong background in structured data reasoning, SQL query interpretation, and data labeling for AI training. My experience includes designing normalized relational database schemas, validating SQL outputs for logical and contextual accuracy, and generating natural-language explanations from structured data—particularly in finance-related domains. I am skilled in MySQL, PostgreSQL, and SQL Server, and have supported AI model training by creating high-quality, logically consistent question–answer pairs and verifying alignment between data, queries, and results. My attention to detail, analytical mindset, and commitment to data integrity ensure that I deliver precise, reliable training data for AI and machine learning workflows. I am comfortable working independently in remote environments and bring excellent written communication skills to every project.

Entry LevelEnglish

Labeling Experience

AI Annotation Specialist / Structured Data Annotation Tasks

Don T DiscloseComputer Code ProgrammingQuestion Answering
Created logically consistent question–answer pairs aligned with structured datasets. Verified alignment between question intent, query logic, and table results to ensure data accuracy for AI applications. Maintained linguistic clarity while preserving technical accuracy in all annotation tasks. • Translated SQL query outputs into natural language explanations • Focused on finance and operations data domains • Performed consistency and logic verification of labeled text • Supported AI model training with curated structured data Q&A

Created logically consistent question–answer pairs aligned with structured datasets. Verified alignment between question intent, query logic, and table results to ensure data accuracy for AI applications. Maintained linguistic clarity while preserving technical accuracy in all annotation tasks. • Translated SQL query outputs into natural language explanations • Focused on finance and operations data domains • Performed consistency and logic verification of labeled text • Supported AI model training with curated structured data Q&A

2023

Education

E

Egerton University

Bachelor of Science, Applied Computer Science

Bachelor of Science
2019 - 2022
E

Egerton University

Bachelor of Science, Applied Computer Science

Bachelor of Science
Not specified

Work History

N

N/A

Database Analyst

Nairobi
2022 - 2023
N

N/A

Web Developer

Nairobi
2021 - 2022