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Morteza Aghabaklou

Morteza Aghabaklou

Entry-Level Data Labeling Specialist | Fast Learner & Detail-Oriented

Spain flagbarcelona , Spain
$6.00/hrEntry LevelClickworkerOtherInternal Proprietary Tooling

Key Skills

Software

ClickworkerClickworker
Other
Internal/Proprietary Tooling
AppenAppen

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Audio Recording
Data Collection
Relationship
Text Summarization
Translation Localization

Freelancer Overview

I am an experienced Data Labeling and AI Training professional with hands-on expertise across image, text, and audio datasets. I’ve worked on projects involving image classification, object detection (bounding boxes), and semantic segmentation using tools such as Label Studio and CVAT. In the field of NLP, I have performed text classification and Named Entity Recognition (NER), while also contributing to audio transcription and speech annotation projects using tools like Prodigy. My strong attention to detail, multilingual abilities (English, Persian, and Spanish), and commitment to data quality allow me to consistently deliver high-accuracy annotations under tight deadlines. I take pride in understanding the context and goals of AI models I help train, ensuring that my work contributes meaningfully to robust, real-world AI systems. I’m now looking to apply these skills to new, challenging projects through OpenTrain.

Entry LevelGermanEnglishSpanishTurkishAzerbaijaniPersian Farsi

Labeling Experience

Appen

Sentiment Analysis Dataset Annotation for Customer Reviews

AppenTextEntity Ner ClassificationClassification
Annotated over 10,000 customer review texts with sentiment tags (positive, neutral, negative) and identified named entities such as product names and brands. Ensured consistency using detailed guidelines and performed regular QA checks with 98% accuracy. Project aimed to train a sentiment analysis model for an online marketplace.

Annotated over 10,000 customer review texts with sentiment tags (positive, neutral, negative) and identified named entities such as product names and brands. Ensured consistency using detailed guidelines and performed regular QA checks with 98% accuracy. Project aimed to train a sentiment analysis model for an online marketplace.

2025 - 2025

Education

I

Institut Technique Étienne Lenoir

CQI Certificat De Qualification, Assistant De Maintenance PC Réseaux

CQI Certificat De Qualification
2020 - 2020
I

Institut des Arts et Métiers Pierrard

Cetification, Comptabilité Bureautique

Cetification
2017 - 2017

Work History

S

Sunlight Ambulance

Assistant Medic

Singapore
2023 - 2024
N

NIKE

Sales Assistant

Singapore
2021 - 2022