Clement N.

Key Skills

Software

CVAT

Don't disclose

Top Subject Matter

Computer vision image annotation and object labeling

Image annotation quality qualification

Speech/audio transcription and voice recording

Top Data Types

Image

Audio

Top Task Types

Object Detection

Transcription

Freelancer Overview

Image annotation and quality-focused labeling (CVAT). Brings 20+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, RemoExperts, and Don't disclose. Education includes Bachelor's Degree in Languages, University for Foreign Students of Perugia (2005) and Baccalaureat in Languages, N/A (2003). AI-training focus includes data types such as Image and Audio and labeling workflows including Object Detection, Evaluation, and Rating.

Labeling Experience

Transcription and voice recording for AI training data

Don't discloseAudioTranscription

The candidate describes daily experience with written transcription and accuracy-focused review of content. She is also comfortable performing voice recordings and reading sentences clearly for dataset creation. Her background includes preparing an organized quiet recording environment and using devices/software to capture and upload audio. • Written transcription with accuracy and review • Voice recording and clear sentence reading • Quiet organized recording environment setup • Uploading recorded audio from devices

Present

Image annotation and quality-focused labeling (CVAT)

CVATImageObject Detection

The candidate reports experience performing image annotation and quality-focused labeling tasks using CVAT. This work required applying annotation guidelines and producing labeled image outputs accurately for downstream AI use. She emphasizes attention to detail, adherence to instructions, and maintaining high labeling quality for reliable results. • Image annotation and object labeling in CVAT • Quality-focused labeling with guideline compliance • Remote/independent task execution • Emphasis on accuracy and attention to detail

Present

RemoExperts image annotation qualification (assessment)

Image

She successfully passed the RemoExperts image annotation qualification exam. The qualification implies evaluation of her ability to follow labeling instructions and produce consistent, high-quality annotations. This supports her readiness for AI training data labeling tasks involving images. • Qualification for image annotation labeling • Evaluated against accuracy and guideline adherence • Demonstrated consistent annotation quality • Readiness to contribute to AI training datasets

Not specified

Education

Work History