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M
Moses T.

Moses T.

Voice Interaction Evaluator – Korean Language (AI Speech Solutions Ltd.)

Portugal flagSeoul, Portugal

Key Skills

Software

No software listed

Top Subject Matter

Korean speech and conversational AI evaluation
Multilingual AI output evaluation and dataset annotation (Korean)
Speech recognition dataset creation and annotation (Korean)

Top Data Types

AudioAudio
TextText
VideoVideo
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Audio RecordingAudio Recording

Freelancer Overview

Voice Interaction Evaluator – Korean Language (AI Speech Solutions Ltd.). Brings 17+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Xbench. Education includes Master of Arts, Middlebury Institute of International Studies at Monterey (2010) and Bachelor of Arts, University of Washington (2008). AI-training focus includes data types such as Audio and Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Voice Recording & Audio Quality Reviewer / AI Linguistic Reviewer & Annotator – Korean (Bluestellar)

TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Reviewed and evaluated AI-generated Korean texts for grammar, accuracy, and cultural appropriateness. Annotated datasets used for prompt evaluation, error detection, and linguistic categorization. Produced structured feedback intended to improve naturalness, clarity, and contextual accuracy of AI model outputs. • Annotated error types and linguistic categories for evaluation datasets. • Evaluated model outputs for linguistic and cultural constraints. • Performed video understanding tasks (summarization and entity recognition) as part of content review workflows. • Ensured consistent QA across large-scale, deadline-driven projects.

2024 - Present

Voice Interaction Evaluator – Korean Language (AI Speech Solutions Ltd.)

AudioAudio

Recorded and evaluated short-form Korean voice interactions to support conversational AI training. Assessed speech clarity, pacing, and pronunciation accuracy against linguistic standards. Provided structured feedback on AI response quality and conversational flow to help improve error handling. • Rated audio and interaction attributes (clarity, pacing, pronunciation). • Reported conversational AI issues and suggested refinements. • Collaborated with engineers to refine NLU-related model behavior. • Focused on linguistic quality criteria for voice-based training data.

2023 - 2023

LinguiaVoice Research (Remote) – Korean voice recording & annotation

AudioAudioAudio RecordingAudio Recording

Performed scripted and unscripted Korean voice recordings for speech recognition datasets. Conducted self-assessments and peer reviews of recorded audio for tone, volume, and clarity to ensure dataset quality. Annotated speech samples with linguistic and contextual notes to support downstream AI training. • Collected speech recordings meeting acoustic and technical requirements. • Performed audio QA via self and peer review checks. • Added linguistic/contextual annotations for training usefulness. • Ensured compliance with project-specific dataset criteria.

2022 - 2023

LQA Reviewer – Korean Language (VeriLingua Technologies)

TextText

Conducted in-depth linguistic reviews of Korean content for mobile, software, and e-commerce platforms. Implemented LQA scorecards, provided feedback to translators, and reported QA metrics to stakeholders. Designed style guides and error taxonomies for high-volume client accounts. • Applied linguistic QA scorecards to evaluated content. • Fed corrective feedback to translation teams. • Maintained error taxonomies and style guidance. • Reported QA metrics for quality tracking.

2017 - 2020

Korean Translator & QA Specialist (NeoText International)

TextText

Translated user manuals, marketing materials, and UI strings from English to Korean. Conducted terminology alignment, glossary creation, and linguistic QA audits to ensure consistency and quality. Trained interns in MTPE procedures and QA standards to improve localization output. • Translated and localized UI and documentation content. • Created and enforced terminology/glossaries. • Performed linguistic QA audits and corrections. • Supported training and process adoption for MTPE and QA.

2011 - 2013

Education

M

Middlebury Institute of International Studies at Monterey

Master of Arts, Translation & Localization Management

Master of Arts
2010 - 2010
U

University of Washington

Bachelor of Arts, Korean Language & Cultural Studies

Bachelor of Arts
2008 - 2008

Work History

L

LinguaCore Solutions

Senior Korean Translator and MTPE Specialist

Seoul
2021 - Present
V

VeriLingua Technologies

LQA Reviewer (Korean Language)

Busan
2017 - 2020