Elyazid Sakouat

Key Skills

Software

Appen

Clickworker

Top Subject Matter

Technology and iA

Health

Education

Top Data Types

Audio

Document

Image

Top Task Types

Audio Recording

Data Collection

Evaluation Rating

Mapping

Text Generation

Freelancer Overview

I have extensive experience in data labeling and AI training data, working on diverse projects involving image, text, and audio annotation. My expertise includes using tools like Labelbox and Amazon SageMaker for accurate dataset creation, ensuring high-quality labels to train machine learning models effectively. I am skilled in managing large datasets, adhering to strict guidelines, and performing quality assurance to maintain consistency. In addition, I have contributed to projects in natural language processing (NLP), computer vision, and sentiment analysis, collaborating closely with data scientists and engineers to refine models. My attention to detail, ability to meet deadlines, and understanding of model performance optimization set me apart in delivering reliable training data.

Labeling Experience

Document Annotation & Structured Data Extraction – Appen/UHRS

AppenDocumentTranslation LocalizationMapping

I worked on multiple document and text annotation projects on the Appen/UHRS platform (all described without naming confidential clients). My tasks included: - Extracting structured information from documents, webpages, and PDF-like content - Identifying and labeling entities such as names, dates, addresses, balances, account-like details, and attributes - Filling structured templates similar to JSON schemas - Classifying and tagging documents according to guidelines - Validating information accuracy, resolving ambiguities, and flagging unclear content - Reviewing the quality of other annotators’ work These tasks required high attention to detail, strict adherence to guidelines, and consistent quality standards.

I worked on multiple document and text annotation projects on the Appen/UHRS platform (all described without naming confidential clients). My tasks included: - Extracting structured information from documents, webpages, and PDF-like content - Identifying and labeling entities such as names, dates, addresses, balances, account-like details, and attributes - Filling structured templates similar to JSON schemas - Classifying and tagging documents according to guidelines - Validating information accuracy, resolving ambiguities, and flagging unclear content - Reviewing the quality of other annotators’ work These tasks required high attention to detail, strict adherence to guidelines, and consistent quality standards.

2021 - 2025

Audio Data Labeler – Appen (Confidential Project “Armanda”)

AppenAudioClassificationTranslation Localization

I participated in a confidential audio data labeling project on Appen (referred to as “Armanda”), where I worked on annotating and analyzing speech recordings. My tasks included: - Listening to short and long audio clips - Transcribing spoken content with high accuracy - Tagging speaker intent, tone, and linguistic attributes - Segmenting audio into meaningful units - Labeling background sounds, pauses, and unclear audio - Following strict guidelines to maintain consistency - Reviewing and correcting annotation errors This project required attention to detail, strong listening skills, and maintaining accuracy across large volumes of audio data.

I participated in a confidential audio data labeling project on Appen (referred to as “Armanda”), where I worked on annotating and analyzing speech recordings. My tasks included: - Listening to short and long audio clips - Transcribing spoken content with high accuracy - Tagging speaker intent, tone, and linguistic attributes - Segmenting audio into meaningful units - Labeling background sounds, pauses, and unclear audio - Following strict guidelines to maintain consistency - Reviewing and correcting annotation errors This project required attention to detail, strong listening skills, and maintaining accuracy across large volumes of audio data.

2021 - 2025

Label Studio Video Annotation (Appen – Confidential)

AppenVideoSegmentationAction Recognition

I worked on a confidential multimedia annotation project on Appen where I used Label Studio to label and segment video clips. My tasks included identifying key actions and events, marking timestamps, and classifying content according to detailed guidelines. I ensured consistency, corrected errors, and maintained high-quality annotation standards. This project required strong attention to detail and accurate interpretation of visual content.

I worked on a confidential multimedia annotation project on Appen where I used Label Studio to label and segment video clips. My tasks included identifying key actions and events, marking timestamps, and classifying content according to detailed guidelines. I ensured consistency, corrected errors, and maintained high-quality annotation standards. This project required strong attention to detail and accurate interpretation of visual content.

2022 - 2024

Audio Annotation Project (Appen – Confidential)

AppenAudioEmotion RecognitionAction Recognition

I worked on a confidential Appen project using Label Studio to annotate audio recordings. My tasks included tagging speech segments, marking timestamps, identifying specific audio events, and ensuring correct classification according to project guidelines. I also reviewed and corrected annotations to maintain quality and consistency across the dataset. The work required attention to detail, especially when segmenting short or overlapping audio signals.

I worked on a confidential Appen project using Label Studio to annotate audio recordings. My tasks included tagging speech segments, marking timestamps, identifying specific audio events, and ensuring correct classification according to project guidelines. I also reviewed and corrected annotations to maintain quality and consistency across the dataset. The work required attention to detail, especially when segmenting short or overlapping audio signals.

2021 - 2024

Education

Work History