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Mohamed Ahmed

Mohamed Ahmed

Data Annotator, Appen (Text)

ExpertAppen

Key Skills

Software

AppenAppen

Top Subject Matter

General/multilingual Domain Expertise
OCR/Document Digitization
General/Image Classification

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
TranscriptionTranscription

Freelancer Overview

Data Annotator, Appen (Text). Core strengths include Appen, Magic Data, and N. Education includes Certificate, EduZone Center. AI-training focus includes data types such as Text, Image, and Document and labeling workflows including Classification and Transcription.

Expert

Labeling Experience

Data Annotator, Shujajia (Image)

ImageClassification
At Shujajia, I participated in image labeling projects, focusing on data collection and classification. I was responsible for supporting quality assurance and consistency checks across several image datasets. This contributed to the reliability of AI models trained with this data. • Labeled and classified images for AI datasets. • Assisted with quality assurance tasks. • Checked labeling consistency among datasets. • Worked remotely as a freelance team member.

At Shujajia, I participated in image labeling projects, focusing on data collection and classification. I was responsible for supporting quality assurance and consistency checks across several image datasets. This contributed to the reliability of AI models trained with this data. • Labeled and classified images for AI datasets. • Assisted with quality assurance tasks. • Checked labeling consistency among datasets. • Worked remotely as a freelance team member.

Not specified

Data Annotator, Magic Data (OCR)

DocumentTranscription
While working with Magic Data, I focused on OCR transcription projects involving both Arabic and English texts. My primary tasks were to verify, correct, and transcribe text extracted from images. These activities contributed to building high-accuracy document digitization systems. • Transcribed and verified OCR-processed text. • Corrected errors in extracted document data. • Supported dataset quality for multilingual OCR. • Utilized Magic Data platform for annotation.

While working with Magic Data, I focused on OCR transcription projects involving both Arabic and English texts. My primary tasks were to verify, correct, and transcribe text extracted from images. These activities contributed to building high-accuracy document digitization systems. • Transcribed and verified OCR-processed text. • Corrected errors in extracted document data. • Supported dataset quality for multilingual OCR. • Utilized Magic Data platform for annotation.

Not specified
Appen

Data Annotator, Appen (Image)

AppenImageClassification
In my role at Appen, I also annotated image data to train computer vision models. I ensured correctness in data labels and contributed to datasets for both English and Arabic content. My work supported the development of more accurate AI systems for image processing. • Labeled and classified image data for model training. • Used annotation tools provided by Appen. • Checked accuracy and consistency of image labels. • Collaborated remotely in a freelance capacity.

In my role at Appen, I also annotated image data to train computer vision models. I ensured correctness in data labels and contributed to datasets for both English and Arabic content. My work supported the development of more accurate AI systems for image processing. • Labeled and classified image data for model training. • Used annotation tools provided by Appen. • Checked accuracy and consistency of image labels. • Collaborated remotely in a freelance capacity.

Not specified
Appen

Data Annotator, Appen (Text)

AppenTextClassification
As a Data Annotator at Appen, I labeled and annotated text data for AI training in both Arabic and English languages. I was responsible for maintaining a high degree of accuracy and efficiency throughout various text projects. My contributions ensured the development of reliable AI language models. • Labeled and classified text data across multiple subject matters. • Used Appen platform for annotation workflows. • Verified data consistency and performed quality assurance. • Worked remotely as a freelancer.

As a Data Annotator at Appen, I labeled and annotated text data for AI training in both Arabic and English languages. I was responsible for maintaining a high degree of accuracy and efficiency throughout various text projects. My contributions ensured the development of reliable AI language models. • Labeled and classified text data across multiple subject matters. • Used Appen platform for annotation workflows. • Verified data consistency and performed quality assurance. • Worked remotely as a freelancer.

Not specified

Education

E

EduZone Center

Certificate, English Language

Certificate
Not specified

Work History

No Work History added yet

Mohamed A. hasn’t added any Work History to their OpenTrain profile yet.