Kaiz3n

Key Skills

Software

Telus

Appen

Top Subject Matter

General English Linguistics

General Audio Content

Audio Queries/Natural Language Processing

Top Data Types

Audio

Top Task Types

Transcription

Freelancer Overview

Audio Annotation & Transcription Specialist. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus, Rev.com, and Appen. Education includes Bachelor of Arts, University of Central Florida (2017). AI-training focus includes data types such as Audio and labeling workflows including Transcription.

Labeling Experience

Audio Annotation & Transcription Specialist

TelusAudioTranscription

As an Audio Annotation & Transcription Specialist at Lionbridge AI / TELUS International AI Data Solutions, I worked on English audio datasets. My main responsibilities involved annotating and transcribing audio, as well as reviewing and correcting machine-generated transcripts. I consistently achieved high accuracy benchmarks in support of AI/ML training data. • Focused on high-quality English audio transcription and annotation • Regularly reviewed and verified AI-generated text for errors • Used proprietary and industry-standard tools to ensure data integrity • Maintained 98%+ accuracy across all assigned tasks

As an Audio Annotation & Transcription Specialist at Lionbridge AI / TELUS International AI Data Solutions, I worked on English audio datasets. My main responsibilities involved annotating and transcribing audio, as well as reviewing and correcting machine-generated transcripts. I consistently achieved high accuracy benchmarks in support of AI/ML training data. • Focused on high-quality English audio transcription and annotation • Regularly reviewed and verified AI-generated text for errors • Used proprietary and industry-standard tools to ensure data integrity • Maintained 98%+ accuracy across all assigned tasks

2021 - Present

Audio Transcription Specialist

AudioTranscription

As an Audio Transcription Specialist at Rev.com, I was responsible for transcribing diverse audio content. This included interviews, podcasts, and meetings, requiring high attention to detail and confidentiality. I supported data consistency for downstream AI solutions. • Transcribed audio files into accurate text format • Supported reviewer and quality assurance pipelines • Maintained confidentiality across sensitive projects • Contributed to AI training datasets for speech recognition systems

As an Audio Transcription Specialist at Rev.com, I was responsible for transcribing diverse audio content. This included interviews, podcasts, and meetings, requiring high attention to detail and confidentiality. I supported data consistency for downstream AI solutions. • Transcribed audio files into accurate text format • Supported reviewer and quality assurance pipelines • Maintained confidentiality across sensitive projects • Contributed to AI training datasets for speech recognition systems

2019 - 2021

Audio Data Labeler

AppenAudioTranscription

At Appen, I evaluated and labeled audio queries for machine learning projects. My responsibilities included correcting automated transcription system errors and ensuring the accuracy of labeled data. I contributed to improved AI model performance through high-quality labeling. • Evaluated accuracy of audio queries and system transcripts • Labeled complex linguistic data for training machine learning models • Provided detailed error correction and feedback • Enhanced language models for better natural language understanding

At Appen, I evaluated and labeled audio queries for machine learning projects. My responsibilities included correcting automated transcription system errors and ensuring the accuracy of labeled data. I contributed to improved AI model performance through high-quality labeling. • Evaluated accuracy of audio queries and system transcripts • Labeled complex linguistic data for training machine learning models • Provided detailed error correction and feedback • Enhanced language models for better natural language understanding

2018 - 2018

Education

Work History