Kitoyi M.

Key Skills

Software

No software listed

Top Subject Matter

AI training data quality assurance and technical documentation verification

Dataset auditing

Categorization Domain Expertise

Top Data Types

Text

Audio

Video

Top Task Types

Classification

Freelancer Overview

Lead Technical Program & Data Operations Specialist (AI data quality control and documentation QA). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Nigeria, Lagos (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Lead Technical Program & Data Operations Specialist (AI data quality control and documentation QA)

Text

Led structured data quality control and verification workflows for complex technical outputs to ensure compliance with strict logic, formatting, and structural guidelines. Performed multi-turn technical documentation review and independent high-volume quality assurance to maintain a high accuracy target. Authored training guides and SOPs focused on edge-case identification and dataset fidelity. • Verified structured technical data for accuracy and consistency. • Enforced guideline compliance across multi-turn documentation. • Produced 15+ technical data guides and SOPs for team training. • Delivered tasks independently under tight deadlines while improving throughput.

2024 - Present

Administrative Operations & Information Lead (data auditing and categorization)

TextClassification

Managed high-volume database auditing with information categorization and structural discrepancy removal to improve dataset integrity. Cross-referenced operational and international data transfers to eliminate factual anomalies and reporting errors. Optimized workflow using a digital milestone tracking model to increase operational throughput. • Audited and categorized information within large datasets. • Corrected system structural discrepancies by 40%. • Performed factual cross-checking to remove reporting errors. • Improved workflow efficiency with milestone tracking.

2022 - 2024

Education

Work History