Academic Mentor for Arabic Text Summarization
Budget: $10 – $30 USD
I'm Hiring | Academic Mentor – NLP Arabic Text Summarization (Part-Time / Per Task)
Are you passionate about NLP, transformers, and Arabic language processing? We're looking for an expert academic mentor to guide the development of a Hybrid Arabic Text Summarizer using BERT and Transformer-based architectures.
This is a flexible, per-task engagement — ideal for a researcher, graduate student, or academic professional looking to contribute to a meaningful NLP project on their own schedule.
About the Project:
I'm building a hybrid Arabic text summarization system that combines extractive and abstractive approaches, leveraging pre-trained BERT models (e.g., AraBERT, mBERT) and Transformer-based architectures.
Your Responsibilities:
✦ Provide expert guidance on designing the hybrid summarization pipeline (extractive + abstractive)
✦ Advise on selecting and fine-tuning Arabic pre-trained models (AraBERT, AraT5, mBERT, etc.)
✦ Review and critique model architecture decisions, loss functions, and training strategies
✦ Support dataset selection, preprocessing, and tokenization for Arabic text (MSA & dialects)
✦ Guide evaluation methodology using ROUGE, BERTScore, and human evaluation frameworks
✦ Provide academic references, literature pointers, and state-of-the-art comparisons
✦ Review written documentation, reports, or thesis chapters related to the project
✦ Offer feedback on experiments, ablation studies, and result interpretation
Requirements:
Bachelor's or Master's degree in Computer Science, Computational Linguistics, AI, or a related field
Hands-on experience with NLP — specifically text summarization (extractive and/or abstractive)
Proficiency with Transformer models and Hugging Face ecosystem (BERT, T5, GPT, etc.)
Demonstrated experience working with Arabic NLP (AraBERT, CAMeL Tools, or similar)
Familiarity with summarization benchmarks (XL-Sum, EASC, WikiNewsAr, etc.) is a strong plus
Experience with PyTorch or TensorFlow for model training and fine-tuning
Strong academic writing and communication skills in English (Arabic is a plus)
Engagement Details
Remote | Flexible Hours
Part-Time — Per Task / Milestone-Based
If this sounds like you — or if you know someone perfect for this role — drop a comment, send a DM, or reach out directly. Let's build something impactful together.
#NLP #ArabicNLP #TextSummarization #BERT #Transformers #MachineLearning #DeepLearning #HiringNow #AcademicMentor #PartTimeJob #RemoteWork #AraBERT #HuggingFace #AIResearch #ComputationalLinguistics
Are you passionate about NLP, transformers, and Arabic language processing? We're looking for an expert academic mentor to guide the development of a Hybrid Arabic Text Summarizer using BERT and Transformer-based architectures.
This is a flexible, per-task engagement — ideal for a researcher, graduate student, or academic professional looking to contribute to a meaningful NLP project on their own schedule.
About the Project:
I'm building a hybrid Arabic text summarization system that combines extractive and abstractive approaches, leveraging pre-trained BERT models (e.g., AraBERT, mBERT) and Transformer-based architectures.
Your Responsibilities:
✦ Provide expert guidance on designing the hybrid summarization pipeline (extractive + abstractive)
✦ Advise on selecting and fine-tuning Arabic pre-trained models (AraBERT, AraT5, mBERT, etc.)
✦ Review and critique model architecture decisions, loss functions, and training strategies
✦ Support dataset selection, preprocessing, and tokenization for Arabic text (MSA & dialects)
✦ Guide evaluation methodology using ROUGE, BERTScore, and human evaluation frameworks
✦ Provide academic references, literature pointers, and state-of-the-art comparisons
✦ Review written documentation, reports, or thesis chapters related to the project
✦ Offer feedback on experiments, ablation studies, and result interpretation
Requirements:
Bachelor's or Master's degree in Computer Science, Computational Linguistics, AI, or a related field
Hands-on experience with NLP — specifically text summarization (extractive and/or abstractive)
Proficiency with Transformer models and Hugging Face ecosystem (BERT, T5, GPT, etc.)
Demonstrated experience working with Arabic NLP (AraBERT, CAMeL Tools, or similar)
Familiarity with summarization benchmarks (XL-Sum, EASC, WikiNewsAr, etc.) is a strong plus
Experience with PyTorch or TensorFlow for model training and fine-tuning
Strong academic writing and communication skills in English (Arabic is a plus)
Engagement Details
Remote | Flexible Hours
Part-Time — Per Task / Milestone-Based
If this sounds like you — or if you know someone perfect for this role — drop a comment, send a DM, or reach out directly. Let's build something impactful together.
#NLP #ArabicNLP #TextSummarization #BERT #Transformers #MachineLearning #DeepLearning #HiringNow #AcademicMentor #PartTimeJob #RemoteWork #AraBERT #HuggingFace #AIResearch #ComputationalLinguistics