Natasha Ruwa

Key Skills

Software

Remotasks

Top Subject Matter

Speech Recognition/Natural Language Processing

AI Audio Data Segmentation

AI Machine Learning/Natural Language Processing

Top Data Types

Audio

Text

Document

Top Task Types

Transcription

Segmentation

Classification

Freelancer Overview

Task Reviewer – Remotask. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks. Education includes Diploma, Kenya Utalii College and Diploma, Alliance Française. AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription, Segmentation, and Classification.

Labeling Experience

AI Data Annotation Project

RemotasksTextClassification

Labeled and categorized textual datasets for inclusion in AI and machine learning training. Ensured strict compliance with project annotation requirements and quality thresholds. Provided critical data validation to support robust AI model outcomes. • Categorized datasets for AI systems • Followed annotation guidelines for consistent labeling • Conducted validation checks for accuracy • Maintained records and annotation progress in Remotasks.

Labeled and categorized textual datasets for inclusion in AI and machine learning training. Ensured strict compliance with project annotation requirements and quality thresholds. Provided critical data validation to support robust AI model outcomes. • Categorized datasets for AI systems • Followed annotation guidelines for consistent labeling • Conducted validation checks for accuracy • Maintained records and annotation progress in Remotasks.

2024 - 2024

AI Transcription & Segmentation Project

RemotasksAudioSegmentation

Led the segmentation of audio data to improve the accuracy of machine learning models. Identified inconsistencies within datasets and enhanced overall data quality. Applied thorough QA processes and annotation guidelines during each project phase. • Segmented and annotated audio for AI model training • Detected and corrected audio inconsistencies • Ensured quality using established annotation guidelines • Utilized Remotasks platform for workflow management and QA tracking.

Led the segmentation of audio data to improve the accuracy of machine learning models. Identified inconsistencies within datasets and enhanced overall data quality. Applied thorough QA processes and annotation guidelines during each project phase. • Segmented and annotated audio for AI model training • Detected and corrected audio inconsistencies • Ensured quality using established annotation guidelines • Utilized Remotasks platform for workflow management and QA tracking.

2024 - 2024

Task Reviewer – Remotask

RemotasksAudioTranscription

Oversaw the review and correction of machine-generated audio transcriptions for AI speech recognition enhancement. Ensured high-quality audio segmentation and annotated data for improved machine learning accuracy. Maintained dataset consistency and adhered to established SOPs throughout the annotation process. • Reviewed and edited machine-generated transcripts for accuracy • Performed data annotation on audio files used in AI training • Conducted quality assurance and validation routines to achieve 98% accuracy • Used Remotasks software to complete labeling assignments efficiently.

Oversaw the review and correction of machine-generated audio transcriptions for AI speech recognition enhancement. Ensured high-quality audio segmentation and annotated data for improved machine learning accuracy. Maintained dataset consistency and adhered to established SOPs throughout the annotation process. • Reviewed and edited machine-generated transcripts for accuracy • Performed data annotation on audio files used in AI training • Conducted quality assurance and validation routines to achieve 98% accuracy • Used Remotasks software to complete labeling assignments efficiently.

2024 - 2024

Education

Work History