Mary Kuot

Key Skills

Software

Appen

Argilla

Axiom AI

CloudFactory

Data Annotation Tech

HiveMind

iMerit

Mindrift

OneForma

OpenCV AI Kit (OAK)

Remotasks

Scale AI

Snorkel AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Top Task Types

Computer Programming Coding

Prompt Response Writing SFT

RLHF

Transcription

Freelancer Overview

I am an AI data labeling and training contributor with experience in audio transcription, listening-based verification, and quality-focused annotation for AI systems. As a native French speaker, I specialize in producing clean, standardized transcripts with accurate spelling, accents, and punctuation, even when working with imperfect or low-quality audio. I am highly consistent in following detailed guidelines and making careful judgment calls when audio cannot be confidently understood, ensuring reliable training data for speech and language models. I have hands-on experience using multiple AI data labeling platforms and tools and working across audio, text, and image data types. My strengths include attention to detail, consistency over speed, and the ability to maintain high annotation quality over long-term projects with steady workloads. I am comfortable with structured workflows, predefined labeling options, and quality review processes that prioritize accuracy, reproducibility, and trust in AI training datasets.

Labeling Experience

French Audio Transcription & Speech Data Annotation for AI Training

TelusAudioRLHFPrompt Response Writing SFT

Worked on AI training projects focused on French speech and audio data, producing clean, standardized transcripts that accurately reflect spoken content (not translation or paraphrasing). Tasks included listening to short audio clips, applying strict transcription rules, and ensuring correct use of French spelling, accents, punctuation, and formatting. Performed listening-based verification and labeling, including flagging unclear, noisy, or unusable audio segments using predefined platform options. Maintained high consistency across annotations, prioritized accuracy over speed, and followed detailed guidelines to ensure reliable training data for speech recognition and language models. Quality measures included self-review, adherence to annotation rubrics, and consistent judgment calls when audio was imperfect or ambiguous.

Worked on AI training projects focused on French speech and audio data, producing clean, standardized transcripts that accurately reflect spoken content (not translation or paraphrasing). Tasks included listening to short audio clips, applying strict transcription rules, and ensuring correct use of French spelling, accents, punctuation, and formatting. Performed listening-based verification and labeling, including flagging unclear, noisy, or unusable audio segments using predefined platform options. Maintained high consistency across annotations, prioritized accuracy over speed, and followed detailed guidelines to ensure reliable training data for speech recognition and language models. Quality measures included self-review, adherence to annotation rubrics, and consistent judgment calls when audio was imperfect or ambiguous.

2020

Education

Work History