Paul N.

Key Skills

Software

Remotasks

Scale AI

Appen

Other

Top Subject Matter

Computer Vision (CV) and NLP for AI/ML training

Content Moderation

Search Relevance

Top Data Types

Image

Audio

Document

Text

Top Task Types

Bounding Box

Transcription

Data Collection

Freelancer Overview

Senior Data Annotation Specialist / Data Labeller & QA Reviewer (Contract). Core strengths include Remotasks, Scale AI, and Appen. Education includes Bachelor of Science, University of Nairobi (2019). AI-training focus includes data types such as Image, Audio, and Document and labeling workflows including Bounding Box, Transcription, and Data Collection.

Labeling Experience

Senior Data Annotation Specialist / Data Labeller & QA Reviewer (Contract)

RemotasksImageBounding Box

Annotated large-scale computer vision data to support AI/ML training and evaluation. Applied precise bounding box, polygon, polyline, keypoint, and semantic segmentation labeling according to detailed guidelines. Maintained consistently high accuracy and quality scores to meet project benchmarks. • Labeled 500,000+ data points across computer vision tasks. • Achieved 97%+ quality score consistently, exceeding team benchmarks. • Resolved ambiguous labeling edge cases with project leads. • Trained junior annotators on annotation guidelines, QA standards, and tool usage.

2022 - Present

Data Labeller & QA Reviewer (Freelance)

AppenAudioTranscription

Labeled and reviewed datasets for social media content moderation, search relevance, and speech recognition projects. Produced multilingual audio transcriptions and performed speaker diarization for English and Swahili datasets. Conducted QA checks to flag inconsistencies, duplicates, and mislabels while sustaining high completion rates. • Delivered 95%+ task completion while meeting daily production quotas. • Performed audio transcription and speaker diarization for multilingual data. • Evaluated search results for relevance, freshness, and user intent using EEAT guidelines. • Identified and escalated data inconsistencies, duplicates, and mislabelled samples.

2020 - 2022

Data Entry & Digitization Officer (Internship)

OtherDocumentData Collection

Digitized and cleaned large volumes of survey and census data with very high accuracy. Performed data validation, de-duplication, and formatting to ensure records were consistent for government database ingestion. Helped design data collection templates and QA checklists to support reliable field survey operations. • Achieved 99%+ accuracy in digitization and data cleaning tasks. • Conducted data validation and de-duplication of statistical records. • Assisted in creating survey templates and QA checklists. • Managed structured data entry, formatting, and spreadsheet workflows.

2019 - 2020

Education