Clyde K.

Key Skills

Software

Other

Labelbox

Google Cloud Vertex AI

Mercor

Micro1

Remotasks

Top Subject Matter

AI-generated audio phonetics and lyrical compliance

Generative AI audio production

Air Traffic Control (ATC) audio transcription

Top Data Types

Audio

Top Task Types

Prompt + Response Writing (SFT)

Transcription

Freelancer Overview

AI Content Quality Assurance Specialist (Promotion), Remote. Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, ICCT Colleges (2016). AI-training focus includes data types such as Audio and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Content Quality Assurance Specialist (Promotion), Remote

Audio

Performed daily phonetic and vocal quality audits on AI-generated audio tracks for accuracy and compliance. Reviewed AI-generated lyrical content against complex stylistic and theological directives. Documented findings to ensure produced outputs meet required quality standards. • Audited up to 100 audio tracks per day. • Assessed phonetic accuracy and vocal quality. • Verified lyrics against specified directives. • Ensured outputs conform to quality requirements.

2026 - Present

ATC Transcriptionist, Remote

OtherAudioTranscription

Completed technical Air Traffic Control (ATC) transcription using AI tools for precision. Produced accurate transcriptions suitable for technical review and downstream use. Applied transcription workflows to convert ATC audio content into text. • Transcribed 100+ hours of ATC audio. • Used AI transcription tools for precision. • Worked with technical ATC domain content. • Produced transcription outputs for further use.

2025 - Present

AI Song Producer, Remote

OtherAudioPrompt + Response Writing (SFT)

Produced high-fidelity audio tracks using generative AI models and carefully structured prompts. Iterated on prompt architectures to achieve desired audio quality in AI output generation. Ensured produced tracks met practical production requirements through prompt-driven refinement. • Created audio using generative AI models. • Used complex prompt architectures. • Focused on producing high-fidelity results. • Refined outputs via prompt iteration.

2025 - 2026

Education

Work History