Key Skills

Software

Labelbox

Toloka

Remotasks

CloudFactory

Top Subject Matter

Machine Learning

Computer Vision

Nlp Domain Expertise

Top Data Types

Image

Text

Document

Top Task Types

Object Detection

Classification

Freelancer Overview

Senior QA Manager / Lead Data Annotation Expert (Crowdgen). Core strengths include Labelbox, Toloka, and Remotasks. Education includes Master of Science, University of the People (2023) and Bachelor of Science, Egerton University (2020). AI-training focus includes data types such as Image and labeling workflows including Object Detection and Classification.

Labeling Experience

Senior QA Manager / Lead Data Annotation Expert (Crowdgen)

LabelboxImageObject Detection

Oversaw QA operations for a global team annotating datasets for Computer Vision, NLP, and Speech AI. Built robust audit and quality assurance frameworks evaluating millions of annotated items each quarter. Partnered with machine learning engineers to align data labeling quality with downstream model performance. • Enforced adherence to annotation guidelines. • Conducted ongoing audit reviews at scale. • Achieved significant improvements in annotation accuracy metrics. • Delivered large volumes of labeled data for AI projects.

Oversaw QA operations for a global team annotating datasets for Computer Vision, NLP, and Speech AI. Built robust audit and quality assurance frameworks evaluating millions of annotated items each quarter. Partnered with machine learning engineers to align data labeling quality with downstream model performance. • Enforced adherence to annotation guidelines. • Conducted ongoing audit reviews at scale. • Achieved significant improvements in annotation accuracy metrics. • Delivered large volumes of labeled data for AI projects.

2019 - Present

Data Annotation Specialist (CV & NLP) (CloudFactory)

CloudfactoryImageObject Detection

Executed high-volume data annotation for Computer Vision and NLP projects, maintaining 96% or higher quality standards. Consistently ranked in the top echelon for both productivity and data accuracy. Supported daily annotation throughput in a dynamic, remote team environment. • Delivered over 1,200 annotations per day. • Maintained accuracy above 96%. • Specialized in both Computer Vision and NLP tasks. • Contributed to top-10% team ranking for quality and productivity.

Executed high-volume data annotation for Computer Vision and NLP projects, maintaining 96% or higher quality standards. Consistently ranked in the top echelon for both productivity and data accuracy. Supported daily annotation throughput in a dynamic, remote team environment. • Delivered over 1,200 annotations per day. • Maintained accuracy above 96%. • Specialized in both Computer Vision and NLP tasks. • Contributed to top-10% team ranking for quality and productivity.

2022 - 2023

QA Team Lead – AI Data Operations (Remotasks)

RemotasksImageClassification

Managed quality assurance and data annotation operations for AI projects on large remote teams. Oversaw annotation processes, implemented process improvements, and increased overall accuracy and consistency. Acted as an escalation lead to address complex data quality and guideline issues. • Enhanced annotation accuracy from 85% to 95%. • Coordinated remote teams for efficient delivery. • Established best practices in guideline communication. • Resolved high-priority edge cases.

Managed quality assurance and data annotation operations for AI projects on large remote teams. Oversaw annotation processes, implemented process improvements, and increased overall accuracy and consistency. Acted as an escalation lead to address complex data quality and guideline issues. • Enhanced annotation accuracy from 85% to 95%. • Coordinated remote teams for efficient delivery. • Established best practices in guideline communication. • Resolved high-priority edge cases.

2020 - 2023

Senior Data Annotation Expert / Quality Reviewer (Toloka)

TolokaImageClassification

Reviewed and validated labeled assets across multimodal datasets, including CV, NLP, and speech. Reduced dataset rework cycles by prioritizing edge case resolution and guideline clarity. Provided mentorship to annotation team members to improve individual and collective labeling accuracy. • Led quality reviews for enterprise-scale AI datasets. • Implemented feedback systems for continual improvement. • Supported annotators in complex and ambiguous tasks. • Enhanced overall data consistency and reliability.

Reviewed and validated labeled assets across multimodal datasets, including CV, NLP, and speech. Reduced dataset rework cycles by prioritizing edge case resolution and guideline clarity. Provided mentorship to annotation team members to improve individual and collective labeling accuracy. • Led quality reviews for enterprise-scale AI datasets. • Implemented feedback systems for continual improvement. • Supported annotators in complex and ambiguous tasks. • Enhanced overall data consistency and reliability.

2020 - 2022

Education

Work History