Lavenda A.

Key Skills

Software

Clickworker

Labelbox

LabelImg

Label Studio

LightTag

Mindrift

Scale AI

Top Subject Matter

AI Data Annotation and Evaluation for Generic and Client-Specific Content

Professional Registration and Compliance Data Annotation

Digital Case Management System Data Quality and Annotation QA

Top Data Types

Text

Document

Image

Top Task Types

Classification

Freelancer Overview

Virtual AI Data & Administrative Specialist. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Nairobi (2017). AI-training focus includes data types such as Text and Document and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Virtual AI Data & Administrative Specialist

TextClassification

As a Virtual AI Data & Administrative Specialist, I annotated, cleaned, and validated over 5,000 data entries for multiple international clients, focusing on text and structured content. I reviewed and tagged data across structured and unstructured datasets, tailoring labeling approaches to specific AI training needs. I also managed annotation QA, error-checks, client delivery, and process optimization. • Performed pairwise comparison evaluations to refine AI models • Enhanced workflow efficiency by 40% through error reduction strategies • Delivered quality-checked data meeting 99% accuracy • Provided annotation and evaluation support to 15+ international clients

2022 - Present

Data Entry, Annotation & Administrative Specialist

DocumentClassification

At the Kenya Veterinary Board, I collected, annotated, and structured over 10,000 professional and compliance records using ERP systems. I applied consistent labeling schemas and performed quality assurance comparable to AI data training workflows. Tagging, categorization, and systematic pairwise record verification ensured high dataset accuracy and integrity. • Labeled certificates, compliance records, and correspondence for structured datasets • Used pairwise comparison to resolve record conflicts and establish ground-truth • Validated data submissions and flagged low-confidence entries • Processed and annotated 10+ complex multi-field applications per month

2020 - 2025

Quality Assurance & Error Detection

Document

At the Public Service Commission, I performed regular audits on case management systems to identify annotation errors, duplicates, and gaps. I ensured zero data loss and maintained high accuracy through systematic error detection and classification of large structured datasets. I also produced data quality reports and standardized backup/version control for annotated data. • Checked and matched source documents with system data for accuracy • Used structured reasoning to identify dataset anomalies • Maintained confidentiality and compliance with data handling regulations • Processed and filed over 100 structured documents weekly

2019 - 2020

Education

Work History