Kenn M.

Key Skills

Software

Don't disclose

Top Subject Matter

Canadian French TTS audio evaluation

speech quality assessment

Multilingual language evaluation and speech recording quality review

Top Data Types

Audio

Top Task Types

Entity (NER) Classification

Freelancer Overview

AI Audio Evaluation Specialist (Remote) - Independent AI Contractor. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Arts, University of Nairobi. AI-training focus includes data types such as Audio and labeling workflows including Evaluation, Rating, and Named Entity Recognition.

Labeling Experience

AI Audio Evaluation Specialist (Remote) - Independent AI Contractor

AudioEntity (NER) Classification

Delivered remote AI audio evaluation services by assessing pairs of AI-generated Canadian French speech recordings for pronunciation, clarity, fluency, naturalness, and overall listening experience. Compared synthesized speech samples and selected preferred outputs using structured evaluation guidelines and project-specific criteria. Maintained quality and consistency through detailed documentation, confidential handling of proprietary datasets, and adherence to annotation and turnaround-time requirements. • Evaluated pronunciation, pacing, intonation, and articulation across audio samples. • Documented evaluation decisions accurately using defined guidelines. • Supported AI model development with reliable human feedback on synthesized speech. • Completed high-volume tasks within established deadlines while preserving confidentiality.

2022 - Present

AI Audio Evaluation Specialist — Independent AI Contractor (Remote) (March 2022 – Present)

Don't discloseAudio

Evaluated AI-generated Canadian French text-to-speech recordings using structured criteria for pronunciation, clarity, fluency, naturalness, and overall listening experience. Compared paired synthesized samples and selected preferred outputs based on rubric-driven judgments. Reviewed audio for consistency in pacing, intonation, articulation, and speech quality artifacts to support downstream AI model improvement. • Performed human evaluations of synthesized speech for quality assurance and model training support • Followed detailed annotation/evaluation guidelines to maintain inter-task consistency • Documented pronunciation errors, synthesis inconsistencies, and decision rationales • Managed tasks remotely with deadline adherence and confidentiality requirements

2022 - Present

Language Quality Evaluator (Remote) - Freelance AI Language Projects

AudioEntity (NER) Classification

Provided remote freelance language quality support by reviewing AI-generated language outputs for linguistic quality and natural language flow. Annotated and evaluated multilingual language datasets according to established project guidelines while checking speech recordings for pronunciation accuracy and clarity. Identified inconsistencies in AI responses, flagged quality issues, and supported quality assurance teams with documentation of evaluation decisions. • Validated completed work and helped maintain dataset quality. • Identified pronunciation errors and clarity issues in audio-related outputs. • Produced detailed reports to support QA and review processes. • Assisted language improvement efforts through consistent, detail-focused evaluations.

2021 - 2022

Language Data Annotation Specialist — Freelance AI Language Projects (Remote) (January 2021 – February 2022)

Don't discloseAudio

Reviewed AI-generated language outputs for linguistic quality and natural language flow according to established project guidelines. Annotated multilingual language datasets and evaluated associated speech recordings for pronunciation accuracy and clarity. Flagged inconsistent AI responses and supported quality assurance through validation of completed work. • Annotated multilingual language datasets with guideline-based linguistic quality checks • Evaluated speech pronunciation and clarity from recordings • Identified and reported quality issues and inconsistent outputs • Assisted QA teams and produced documentation supporting evaluation outcomes

2021 - 2022

Education

Work History